About the team 

At Roku, as a Senior Data Scientists you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.   

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting the Operations team. As a Sr. Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data.  Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen.   

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 

This role is hybrid and located in Austin, TX.  Employees are expected to report to the office Monday - Thursday.

What you’ll be doing: 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 
• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.  
• Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau etc. 
• Develop necessary data pipelines to power automation, validation and reporting. 
• Use creativity to find proxies where verbatim data or measurement is unavailable 
• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests 
• Stay updated with the latest trends and technologies in data science to drive innovation

We’re excited if you have: 

• 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in Logistics, operations, product analytics is preferred. 
• Excellent command of SQL and experience working with Big Data 
• Experience coding in Python or R. 
• Hands-on experience with data visualization platform like Tableau, Looker, or similar
• Statistics knowledge: A/B testing, statistical inference, interpretation of data 
• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 
• Self-driven, highly motivated, and independent minded individual who has a natural curiosity for understanding operations via data. 
• Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience. 
• Excellent investigative skills with a passion for finding the root cause of an issue. 
• The ability to work independently and across multiple time zones 
• Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking 
• Academic background in math, physics, computer science, economics  

#LI-CU1

About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the Team

The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.

This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.

We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.

About the Role

As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.

You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.

What You’ll Be Doing

• Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production

• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations

• Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders

• Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality

• Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising

• Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services

• Integrating services from other teams around the company, while also providing reusable ML services to others

• Evaluating and providing feedback on new platform technologies provided by internal teams

• Working with QA teams to address bugs and contribute to automation and quality assurance

We’re Excited If You Have

• A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field

• Strong background developing applied machine learning systems using PyTorch or TensorFlow

• Expertise in image processing, computer vision, or natural language processing

• Experience using AWS, GCP, or Azure for storing data, training, and serving models

• Proven ability to evaluate models and communicate insights effectively

• Experience building APIs with frameworks such as GraphQL or REST

• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

• Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools

#LI-PA1

The Team

The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.

Our Vision                                                                     

• We pursue large scientific challenges that cannot be pursued in conventional environments
• We enable individual investigators to pursue their riskiest and most innovative ideas
• The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

The Biohub is seeking an accomplished Scientist  I to lead innovative investigations into spatial architecture of molecular systems and its role in controlling cell state dynamics. In our newly established Synthetic Spatial Omics Laboratory, we advance next-generation spatial multi-omics platforms for understanding how cells process combinatorial signals, designing synthetic biology toolkits, and capturing cellular temporal histories with spatial resolution.

The successful candidate will lead independent research projects integrating spatial multi-omics, synthetic biology, and systems-level analysis to investigate molecular neighborhood reorganization in response to perturbations, engineer programmable cellular functions, and identify the molecular drivers of cell state transitions. This position offers the opportunity to drive both technology development and fundamental discovery in a highly collaborative, interdisciplinary research environment. 

What You'll Do

• Lead the development and application of imaging-based multi-omics technologies (e.g., seqFISH and related approaches) to map subcellular molecular organization and cell state transitions.
• Design and perform perturbation experiments to decode how molecular neighborhoods respond to combinatorial signals.
• Engineer synthetic biology systems and profile their behavior using spatial multi-omics to understand and program cellular functions.
• Lead analysis of high-dimensional imaging and sequencing datasets using computational and machine learning approaches to identify organizational and regulatory principles. 
• Collaborate closely with researchers across genomics, synthetic biology, machine learning, and related disciplines.
• Contribute to and lead preprints, publications, presentations, and open science practices.

What You'll Bring

Essential - 

• PhD in Systems Biology, Molecular Biology, Immunology, Bioengineering or a closely related discipline.
• 3-4+ years of postdoctoral or equivalent research experience, with a strong record of scientific productivity.
• Demonstrated expertise in imaging-based omics and/or sequencing-based single-cell technologies.
• Expertise in molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
• Strong computational skills in Python, R, or comparable languages, with experience analyzing large-scale imaging and sequencing datasets.
• Proven ability to independently conceptualize research directions, design rigorous experiments, troubleshoot complex workflows, and lead projects from conception to publication.
• Collaborative mindset and strong scientific communication skills.

Nice to have - 

• Established track record in developing novel experimental or computational technologies.
• Prior work with imaging-based transcriptomics or genomics technologies.
• Prior work with immune cell types or immune cell engineering.
• Expertise in synthetic biology, CRISPR technologies, or engineered cell systems.
• Experience with temporal genomics, molecular recording, or lineage-tracing approaches.
• Background in regulatory network analysis, signaling dynamics, or models of cellular computation.

Compensation

The New York City, NY base pay range for a new hire in this role is $120,000.00 - $150,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid #LI-Onsite

Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.

Job Summary:

As a key member of the cross-functional Development Team responsible for providing regulatory writing expertise and leadership to formulate the writing strategy for key regulatory documents for submission. The Sr. Director, Head of Regulatory & Medical Writing will be responsible for providing guidance to the medical and or regulatory writing group (contractors and internal writers) assigned to deliverables and ensuring appropriate work allocation and document preparation.; will also provide review and substantive editing of documents to ensure delivery of high-quality documents. This individual will work effectively with many other functional groups, including with Clinical Scientist(s), Medical Monitors, Regulatory and other functions as applicable, and collaborate with clinical medical writing as applicable to ensure scientific excellence in the execution of clinical trials. The Head of Regulatory Writing will build a medical writing group internally when appropriate.

Reporting to the SVP, Head of Regulatory Affairs, this role will be responsible for the regulatory writing & medical writing deliverables of assigned project(s), in accordance with the agreed timelines and quality standards.

Responsibilities:

• Ensure appropriate allocation of internal and external resources needed for all regulatory writing deliverables.
• Hire and manage medical writers internally and manage external medical writing contractors.
• Forecasting and maintaining budget for the regulatory writing team.
• Assess efficiencies, help identify areas of improvement and initiate improvement processes.
• Coordinate, author and edit documents used to support clinical trial conduct and reporting including but not limited to:
• Clinical study protocols and clinical protocol amendments (in partnership with Clinical Science/Clinical Development)
• Clinical study reports
• Investigator’s brochures and annual updates
• IND submissions and annual reports
• Lay-person summary
• Integrated summary reports
• Clinical, Nonclinical and Multidisciplinary Information Amendments
• NDA, BLA, MAA, (e)CTD submissions
• Risk Management Plans
• Health Authority responses
• Briefing Documents, ODDs, BTDs/PRIME, FTD etc
• Participate in relevant subteam(s) and ensure effective planning and management of timelines for all components of assigned documents across all projects.
• Participate in document strategy sessions, including messaging, document flow, logic, and consistency for assigned projects.
• Support and develop deliverables required for global transparency and disclosure requirements (e.g., plain language lay summary, applicable redactions to regulatory documents subject to EU posting regulations and results for EU CTR).Partner with Biometrics in developing standard TFLs and in text tables for deliverables as applicable
• Maintain and support developing and reviewing standard processes and templates.
• Review and edit documents as required.
• Work effectively and lead in cross-functional working groups.

Qualifications:

• Candidates must have a BS with 15+ years, or MS or other advanced science degree (e.g.: RN, NP, MSN, PharmD, PhD, MD) with 10+ years of experience in oncology clinical research experience as a clinical or regulatory medical writer within the pharmaceutical/biotech industry.
• Prior experience leading a regulatory writing group
• Experience writing/leading the writing of critical clinical documents in major regulatory filings (NDA, BLA, MAA).
• Proficiency in the use and understanding of computer software e.g. word processing, graphics, reference manager, document management systems.
• Familiarity with all phases of drug development processes (discovery to market), clinical study protocol design, CTA/IND submissions, investigator’s brochures and clinical study data collection and results reporting.
• Advanced knowledge of routine document content preparation, including the use of style guides, medical dictionaries, and regulatory guidance documents and templates.
• Experience writing, at a minimum, protocols (Phase 1-3, in oncology), investigator’s brochures, clinical study reports, Health Authority briefing packages, and Health Authority responses. Experience with Pediatric Investigational Plans (PIPs) is preferred.
• Advanced understanding/knowledge of regulatory requirements and drug development processes, Good Clinical Practice (GCP), regulatory requirements and guidelines associated with regulatory documents (e.g., protocols, investigator brochures, and clinical study reports).
• Ability to interpret and summarize complex tabular and graphical data presentations.
• Strong organization, documentation and communication skills with an ability to multitask.
• Adaptable / flexible, willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism.
• Detailed knowledge of GCP, ICH Guidelines and current US FDA regulations.

Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix. By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/).

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

About the Team

The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.

About the Role

As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.

Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.

Responsibilities

• Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
• Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
• Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
• Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.

You May Be a Good Fit If You:

• Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
• Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
• Are excited about the potential for AI to accelerate scientific discovery

Who Are We?

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we’ve been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We’re a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we’re driven by the impact our work has on real people’s financial futures.

What Does This Team Do?

Our Business Intelligence team acts like internal consultants. We help teams across the company do their jobs better by identifying opportunities and informing data-driven decisions. We don't just "pull data"—we uncover the stories buried in the numbers to guide our marketing, product, and member experience strategies.

What Will You Do in This Role?

The Business Intelligence/Data Analyst plays a critical role in driving strategic decision-making. You will collaborate closely with senior BI team members and stakeholders across various departments to analyze business performance and develop growth strategies.

Okay, but what will you actually do in this role?

• Analyze datasets containing millions of records to identify trends, patterns, and exploratory insights.
• Apply statistical methods and machine learning algorithms to solve complex business problems and forecast outcomes.
• Partner with business teams to understand their strategy and goals, then translate them into actionable data initiatives.
• Develop and maintain dashboards in Tableau that provide clear, jargon-free insights.
• Work with data engineering and tech colleagues to automate and operationalize your models.
• Provide data-informed recommendations with a quantifiable value to improve product features, engagement, and member experience.
• Monitor key metrics and performance indicators to develop strategies for business impact.

You Might Be a Good Fit If You:

• Are curious and love to learn, often taking things apart to understand how they work.
• Thrive when learning something new every day and staying curious enough to uncover the stories buried in data.
• Collaborate and communicate effectively with a consultative mindset and approach to working with stakeholders.
• Have a proven ability to craft concise, actionable analyses and reports that tell a story about a business area or marketing campaign.
• Consider yourself a scientist who can delve deep into large data sets to build clear, compelling analyses that unlock high-impact breakthroughs.

Required Experience and Skills:

• 5+ years of experience in a business intelligence, data analysis, data-informed decision-making, or strategy role.
• Proven ability to extract, manipulate, and transform large datasets via Python and/or SQL.
• Proficiency in data visualization techniques and tools including Tableau.
• Bachelor's degree, preferably in data science, finance, statistics, economics, or a related field.
• Excellent communication and presentation skills, with the ability to translate complex data into clear insights for a non-technical audience.
• Strong analytical and problem-solving skills with a proactive, consultative approach.
• Statistical experiment design and testing including inferential statistics.
• Ability to work independently and manage multiple projects simultaneously.
• Experience or familiarity with financial services, digital publishing, or subscription products (preferred).
• Proficiency with ML/AI techniques including predictive models to uncover insights and deploy optimizations (plus).
• Experience working with web analytics platforms like Google Analytics (plus).
• Experience with Jira/project management tools and Git-based workflows (preferred).

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.  

The Data Science team is responsible for leveraging our most valuable asset—our data—to generate meaningful value for our members. From building models that assist physicians in treating conditions to identifying members in need of specialized care, Data Science at Clover develops data products and insights that are central to our mission and differentiation as a company.

Our impact is tremendous—as a Senior Data Scientist, you’ll help build a revolutionary healthcare company by delivering data-driven solutions that directly improve patient outcomes.

As a Senior Data Scientist you will:

• Lead large-scale projects from ideation through enterprise impact.
• Apply a broad problem-solving toolkit to develop both creative and practical solutions.
• Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness.
• Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it.
• Understand business challenges and deliver results that meaningfully solve key problems.
• Proactively engage with stakeholders across all levels to align data science efforts with business needs.
• Identify and mitigate risks early, preventing roadblocks that could arise later.
• Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives.
• Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution.

Success in this role looks like:

• First 90 Days:
  • By your ability to forecast project impact.
  • By leading data driven product performance assessment.
• Beyond 90 Days:
  • Proactive identification and implementation of strategic improvements with data driven strategies. 
  • By leading toward improved team outcomes.

You should get in touch if:

• You have an advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience).
• You have a strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages.
• You have successfully used data science to drive enterprise value in a business function.
• You are comfortable leading projects and have experience taking large-scale initiatives from concept to measurable business impact.
• You improve the work of those around you through mentorship, code review, and leadership by example.
• You can clearly communicate how your work contributes to business goals, ensuring alignment with top-level company objectives.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Local or 100% Remote

About Point

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We’ve earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.

About the role

We are seeking a Senior Data Scientist to join our growing data team. You will be responsible for building and deploying machine learning models to support marketing, customer engagement, and core business use cases. You will also monitor model performance, identify and mitigate model deterioration, forecast business outcomes, and maintain high-quality datasets. The role is not limited to working on machine learning and model development and will also include, but not limited to advanced analytics projects such as root-cause analysis, identifying trends in data and building time-series projections.

This is an excellent opportunity for someone advanced in their data science career to enhance their skills in applied machine learning while working closely with other senior data scientists, engineers, and cross-functional stakeholders.

Your responsibilities

• Model Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problems.
• Model Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measures.
• Forecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisions.
• Data Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modeling.
• Collaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutions.
• Documentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholders.

About you

• 4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count).
• Familiarity and experience working with AI toolkits such as Claude or Gemini or similar.
• Strong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
• Familiarity with SQL for data extraction and transformation.
• Experience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoring.
• Understanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
• Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analytics.
• Excellent problem-solving skills and ability to communicate insights clearly.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree is a plus.
• Advanced knowledge of AI tools
• Expertise on BI dashboarding tools such as Sigma or Tableau preferred
• Strong Excel skills

Our benefits 

• Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
• Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays. 
• Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ. 
• Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.
• Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success. 
• Financial wellness:  We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage. 
• Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450
• Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $164,350 - $181,65
• Tier 3 | All other US metro areas | $156,750 - $173,250

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. 

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
• Partner closely with Sales and Data Science teams to identify important questions and answer them with data. 
• Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. 
• Create analyses that generate insights for business teams.
• Design, analyze, and interpret the results of experiments. 
• Build ETL data transformation pipelines in SQL.

Who you are

Minimum requirements

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation. 

• 3 years of experience building ETL data transformation pipelines in SQL;
• 3 years of experience working closely with product and business teams to identify important questions and answer them with data;
• 2 years of experience productionalizing and implementing machine learning models;
• 2 years of experience productionalizing and implementing software products;
• 2 years of experience designing, analyzing, and interpreting the results of experiments;
• 2 years of experience designing, and analyzing software architectures;
• 2 years of experience designing, implementing, and launching data science solutions;
• 2 years of experience designing, implementing, and launching software solutions; and
• 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-DNI

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

Your Role

We're hiring a Senior Data Scientist to join our Athlete Performance team in London. You'll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensors, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona. 

As a Senior Data Scientist, you’ll:

• Create and improve algorithms. You'll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification, turning raw data into actionable insights for our users.
• Deliver insights at scale. You'll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters.
• Collaborate across teams. You'll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.
• Lead high-impact projects. You'll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl.

Must-Haves

• Strong mathematical background. You're highly skilled in statistical operations and physics-based calculations used to analyze large datasets.
• Proven track record. You've built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing.
• Multi-modal time series expertise. You have demonstrable experience working with multi-modal time series data for deep learning-based analysis and forecasting, and can apply these techniques to derive meaningful insights from complex sensor data streams.
• Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes.

Nice-to-Haves

• Wearable and GPS expertise. You have experience working with wearable devices, IMU sensors, GPS tracking and biometric data.
• Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes.
• Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains.
• Real-time systems experience. You're comfortable working with models designed for low-latency environments.
• Advanced degree. A PhD in biometrics, mathematics or a related field is a plus.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Your Role

We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.

As a Lead Data Scientist, your key responsibilities will include:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
• Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.

We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.

Must-Haves

• Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
• Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

Code and Theory is seeking a senior cloud engineer who wants to own the full technical lifecycle of enterprise client deployments — from assessing a client's existing infrastructure and designing the integration architecture, to provisioning the environment and keeping it running in production. This is a hands-on role that also requires real client engagement: you will sit in technical working sessions, work directly with client DevOps teams, and be the person who translates security and compliance requirements into concrete infrastructure decisions.

You will be working on a platform that connects our AI product to enterprise marketing environments across different cloud providers. Each client brings its own infrastructure, data stack, and security perimeter. Your job is to figure out how to connect to it, build the integration reliably, and hand it off in a state that can be operated and maintained over time.

WHAT YOU'LL DO

• Assess each client's cloud infrastructure, data stack, and security perimeter before any build starts — translate findings into a concrete integration plan
• Design and provision client environments using Terraform — networking, IAM, container orchestration, managed storage, and secrets management across GCP, AWS, or Azure depending on the client
• Deploy and operate LLM inference pods in client cloud environments — managing API integration, rate limits, latency, and failure handling without needing a data scientist in the room
• Build and maintain integration layers that connect client data sources to the AI layer — you own the plumbing that makes inference useful; the data science team owns what runs on top of it
• Deploy and maintain containerized workloads via Helm — orchestration, ETL workers, and AI inference pods running inside the client's cloud perimeter
• Own data pipeline deployments end to end — scheduling, pagination, retry logic, and rate-limit management against client API gateways
• Manage distributed ETL jobs at scale — JSON flattening, schema enforcement, and structured output delivery
• Enforce data residency requirements — raw data stays inside the client's environment, only structured output leaves to our shared infrastructure
• Serve as the primary technical contact for each client's DevOps and infrastructure teams throughout the engagement
• Lead technical working sessions with client teams — validate configurations, confirm IAM and credential models, review cluster specs before deployment
• Triage and resolve pipeline and infrastructure failures across multiple client environments simultaneously
• Implement container security standards — non-root execution, read-only filesystems, startup integrity hashes, tamper protection
• Mentor junior and mid-level engineers and contribute implementation patterns to the shared playbook after every client engagement

WHAT YOU'LL NEED

• 6+ years of cloud engineering experience — production experience on at least two of GCP, AWS, or Azure, and willing to operate across all three depending on client environment
• Deep Terraform experience — you have provisioned multi-environment, multi-tenant production infrastructure from scratch, not just applied existing configurations
• Comfortable with Kubernetes and Helm in production — deploying, debugging, scaling, and securing containerized workloads, not just running them
• Have run data pipelines in production — you know what breaks, how to recover, and how to build retry and backoff logic that actually holds up
• Hands-on experience with distributed processing at scale — not just theoretical knowledge
• Enterprise API integration experience — OAuth 2.0, API key management, rate limiting, API gateways — end to end
• Solid security fundamentals — container hardening, credential management, and data residency enforcement in environments where it actually matters
• Have worked directly with client or customer engineering teams — comfortable leading technical conversations with enterprise DevOps and infrastructure teams, not just supporting them
• You write things down — runbooks, integration notes, playbook contributions. The next engineer should be able to operate what you built
• Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or equivalent) into production pipelines — not as an end user, but wiring inference into systems that run at scale across real client environments

NICE TO HAVE

• Experience with:
  • LLM inference infrastructure
  • Marketing technology stacks (DAM, CDP, CRM)
  • Multi-tenant client environments
• A cloud certification (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure equivalent)
• Agency, consultancy, or product company background serving multiple enterprise clients simultaneously

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The target range of base compensation for this role is $110,000 - $150,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

Location: This role is based onsite at our headquarters in College Park, MD.
Travel: 10% domestic and international
Job ID: 1490 

The Role: 

We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you will be part of the new Quantum Applications team based in College Park, Maryland , you will be a key link to the University of Maryland ecosystem, serving as a bridge to collaborate with world-class faculty and researchers both at UMD and at institutions globally.

You will operate at the intersection of two frontiers: pushing the boundaries of cutting-edge academic research on latest quantum hardwares and developing the next generation of quantum algorithms poised to solve real-world problems better than state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities:

• Practical Algorithm Innovation: Lead the hands-on development of Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed to scale for real-world impact. You will emphasize "hardware-aware" FASQ, ensuring research is rooted in the constraints of practical early fault-tolerant systems to drive scientific and commercial breakthroughs.
• Full-Stack & Hardware-Centric Optimization: Work directly with quantum compiler, cloud, and hardware engineering teams to build highly optimized hybrid workflows specifically tuned for IonQ’s trapped-ion architecture. Your goal is to make the best use of available quantum hardware for proof-of-principle demonstrations and experiments, moving beyond abstract error correction theory.
• Rigorous Algorithm Analysis: Conduct deep technical evaluations comparing quantum algorithms of interest against relevant state-of-the-art classical algorithms. You will identify the specific performance characteristics and scaling behaviors that define the boundary between classical and quantum capabilities.
• Academic Strategy & Advocacy: Act as a primary advocate for IonQ’s academic presence by actively engaging with the UMD faculties. You will guide, propose, and initiate impactful academic research projects that carry significant industrial weight and commercial potential.
• IP & External Influence: Build a robust portfolio of foundational IP and high-impact-factor, peer-reviewed publications. You will represent IonQ’s technical vision at major conferences and in high-level discussions with external stakeholders, emphasizing our path to practical, application-scale quantum advantage.

• Hardware Awareness: While we don't expect you to build the hardware, a deep familiarity with the operation and physical principles of trapped-ion quantum computers is a significant advantage.
• Hardware-Centric Optimization: Experience working directly with hardware engineering teams to tune algorithms for specific architecture constraints.
• Error Mitigation: Proficiency in hardware-level error mitigation and advanced compilation strategies.

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We are looking for a Senior Data Scientist. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches).
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks).

What we’re looking for

• • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
  • Experience solving problems within digital advertising is preferred.
  • Familiarity with online experimentation and its pitfalls.
  • A scientifically and statistically rigorous approach to analysis and data.  You rely on statistically valid approaches to problems and have a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output.
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R).
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, including Product and Machine Learning teams.
  • A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
  • Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario. 

#LI-HYBRID

#LI-CH1

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

The Opportunity

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health — advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact.

The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. We're a small team with significant resources and long time horizons. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

We’re looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and tokenization, and can translate that thinking into novel training architectures. You’ll work across experimental, computational, and AI teams to build scalable, interpretable genomic data systems that power next-generation biological models and accelerate human health discovery. You will operate with broad scope and high autonomy, influencing roadmap decisions across teams, and mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.

What You'll Do

• Set technical vision and strategy for the design of data representations and tokenization strategies for diverse biological data types that enable novel model architectures.
• Define data standards and quality metrics that enable reliable cross-dataset integration and model-ready data products.
• Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
• Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve
• Partner deeply with ML engineers and AI researchers to co-design datasets and feedback loops that optimize model training, evaluation, and generalization.
• Lead cross-functional initiatives spanning data engineering, infrastructure, science, and product, aligning technical execution with long-term scientific goals.
• Identify and drive new data acquisition and generation opportunities, from external collaborations to internal experimental pipelines.
• Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the organization.

What You'll Bring

• PhD in computational biology, bioinformatics, or a quantitative biological field 
• 8+ years of experience working with large-scale biological datasets (genomics, epigenomics, transcriptomics, proteomics, or multi-omics), including ownership of end-to-end data products.
• Deep understanding of biological measurement types (sequencing, imaging, proteomics, or related), their underlying data characteristics, and how to transform raw data into ai-ready datasets.
• Experience designing data representations or feature engineering for machine learning in biomedical contexts
• Strong computational skills (Python, scientific computing libraries); Demonstrated ability to design robust, extensible data architectures and to evolve standards in fast-moving scientific domains.
• Strong expertise in machine learning and statistical modeling, with experience applying these methods to data quality assessment, automation, or decision-making systems. Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Excellent communication skills, with the ability to translate between biology, ML, and engineering audiences.
• Creativity, Curiosity, scientific judgment, and a willingness to engage deeply with new biological domains and emerging AI paradigms.

Compensation

The Redwood City, CA  base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid 

Your Impact at LILA

Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation—partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure–property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research.

What You'll Be Building

• Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems
• Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays
• Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts
• Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales
• Transfer successful prototypes into production-ready systems within Lila’s AI Science Factory platform, enabling autonomous experimentation

What You’ll Need to Succeed

• MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials
• Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts
• Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays
• Experience designing and implementing custom experimental workflows and/or scientific software
• Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control
• Excellent communication skills and comfort operating in a fast-paced, exploratory R&D environment

Bonus Points For

• Experience with lab automation, high-throughput experimentation, or instrument control software
• Background in formulation science (e.g., consumer products, coatings, energy materials, bio-soft matter)
• Experience linking scattering, rheological, and performance data to predictive or ML-driven models
• Familiarity with prototyping tools such as 3D printing, machining, microfluidics, or custom sample environments
• Industry or national lab experience working on soft materials or complex fluids

***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a hands-on HPC Linux Software Engineer to support mission-critical R&D efforts in a high performance computing environment. This role is ideal for an engineer who can work directly with users, solve complex modeling and simulation challenges, and help strengthen HPC software workflows in a fast-paced on-site lab setting.

Responsibilities:

Support HPC users and technical staff in a research and development environment, helping solve modeling and simulation workflow issues across heterogeneous, multi-platform systems. Develop, maintain, and troubleshoot Linux-based software used in HPC environments, including existing code bases and distributed applications. Partner closely with the Technical User Support team, team lead, Chief Scientist, customers, and site staff to resolve technical problems and improve user effectiveness. Contribute across the software lifecycle including requirements, design, coding, documentation, testing, and maintenance. Provide technical guidance to junior engineers and scientists, lead code reviews, and create training materials, tutorials, and onboarding content for users and internal staff.

Required Qualifications:

• TS/SCI Clearance with CI Polygraph
• Bachelor’s degree in a STEM-related discipline
• 10+ years of professional software engineering experience
• Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
• Experience supporting HPC user workflows for modeling and simulation problems, including GUI-based workflows
• Knowledge of High Performance Computing environments and related technologies
• Proficiency in Fortran, C, and/or C++
• Proficiency with Bash and Korn shell scripting
• Strong Linux experience, including the ability to troubleshoot end-user system issues independently in a lab environment
• Experience with coding standards, unit testing, and configuration management
• Strong ability to analyze, debug, and maintain existing code bases
• Experience with requirements, use cases, design, coding, documentation, and testing of scalable distributed applications in Linux environments
• Experience mentoring junior engineers or scientists, providing technical guidance, and leading code reviews
• Experience designing and delivering training workshops, tutorials, or onboarding materials for HPC users and internal staff
• Strong communication skills and the ability to work effectively across technical teams and customer stakeholders
• Excellent attention to detail, strong problem-solving ability, and solid organizational skills

Preferred Qualifications:

• Experience working on-site with research and development customers in mission-focused environments
• Experience supporting technical user communities in HPC or scientific computing settings
  Background balancing software engineering, end-user support, and technical training responsibilities in the same role

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

The Community You Will Join:

MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, Engineering, and Product to provide actionable recommendations and tools based on effective, timely, and granular measurements.

The Difference You Will Make:

We are seeking experienced Data Scientists to serve as technical anchors across our team’s two pillars. The ideal candidate combines depth in causal inference, experimentation, and customer relationship modeling with the ability to drive rigor in solutions and data-informed decision making across the team and our cross-functional partners.

• Actionable: Deliver insights that drive confident business decisions.
• Impactful: Prioritize projects based on their expected value to Airbnb.
• Balanced: Adapt methods to business questions and data realities, acknowledging limitations.
• Rigorous: Maintain methodological integrity and quantify the sensitivity of findings.
• Innovative: Invest in advancing measurement science and developing new methods.
• Influential: Share learnings across Airbnb and the broader data science community.

A Typical Day:

• Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
• Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.
• Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns.
• Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
• Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts.

Your Expertise:

• PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.
• Deep knowledge of causal inference methodologies and experimentation techniques.
• Proficiency in statistical programming (Python or R), database usage (SQL), and agentic coding.
• Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
• Proven track record of solving business problems through data science methods.

Preferred Expertise:

• PhD in Economics, Statistics, Marketing, or a related field.
• Passion for marketing and consumer science, with a desire to stay informed about the latest academic research.
• Familiarity with Bayesian modeling and its applications in marketing.
• Experience with causal ML modeling.
• Experience in developing end-to-end models for data-driven decision-making.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

About the Role

We’re looking for a Forward Deployed Marketing Data Scientist to partner closely with our AI Decisioning customers and internal engineering teams to ensure that AI-driven marketing campaigns deliver measurable, compounding impact. This role is uniquely cross-functional: you’ll spend time diagnosing model behavior, tuning ML levers, analyzing incrementality, exploring customer data, and explaining insights to marketers and executives.

Marketing teams come to Hightouch to transform how they operate. Instead of planning campaigns weeks ahead on a calendar, AI Decisioning continuously learns customer preferences and executes 1:1 messaging that adapts in real time. Your mission is to make sure that these AI agents perform at their best—and to help customers understand why they are performing the way they are.

You’ll work alongside ML engineers, product managers, Solutions Consultants, and some of the world’s most recognizable brands to improve campaign performance, debug experiments, and identify opportunities for additional lift. Roughly 30% of your time will be customer-facing and 70% deep analytical and modeling work.

No two days are the same, but you can expect to:

Own diagnostics, insights, and tuning for AI Decisioning campaigns

• Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis.
• Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals.
• Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations.

Work deeply with data in notebooks and customer warehouses

• Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks
• Modify and improve customer feature matrices to unlock deep personalization.
• Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI.

Build lightweight tooling that enables scale

• Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers.
• Identify systemic gaps and influence the direction of ML reporting and introspection.

Communicate ML concepts clearly to non-technical stakeholders

• Present model insights and recommendations to marketers, analysts, and executives.
• Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more.
• Partner closely with Solutions Consultants to identify and drive new opportunities for uplift.

What We’re Looking For

• Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks).
• Ability to write and interpret SQL for customer warehouse analysis.
• High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows).
• Excellent communication skills; able to explain technical reasoning simply and confidently to marketers.
• A customer-first attitude with high ownership and urgency when resolving issues.

Bonus Points

• Experience setting up and analyzing marketing experiments such as A/B, multivariate tests.
• Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role.
• Experience building lightweight internal tools or scripting solutions.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $140,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

Our interview process evaluates the most important dimensions of the role: analytical depth, customer communication, first-principles problem solving, and alignment with Hightouch’s values.

Intro Call [15–30m]

Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.

Take Home Data Analysis Exercise + Review Session [45m]

You’ll complete a short take-home assignment focused on exploratory data analysis of an example dataset. In the live review, you’ll walk through your approach, explain your reasoning, and present your findings as if you were guiding a customer through your analysis. We’re looking for clarity of communication, rigor of thinking, and the ability to turn data into actionable insights.

Experiment Design & Analysis Session [90m]

A hands-on session where we collaboratively design and evaluate an experiment end-to-end. This includes:

• Defining the experimental goal and how success should be measured
• Identifying the most relevant context and features to use in modeling
• Interpreting example results and diagnosing performance patterns
• Recommending next steps and communicating tradeoffs

Hiring Manager Interview [30m]

Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

Senior Data Scientist -  Experimentation & Measurement

San Mateo, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV & Personalisation team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. 

As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence key commercial and product decisions at scale and are evaluated based on their impact on commercial outcomes. You will work on complex and often ambiguous problems, helping define how we measure player value and how we deliver more personalised player experiences. 

This role combines deep hands-on modelling with ownership of problem definition, approach, and impact. You will work with a high degree of autonomy across ambiguous problem spaces, shaping how data informs strategy and decision-making across the business. 

What You’ll Do 

• Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle. 

• Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions. 

• Partner with senior stakeholders to shape strategies, and ensure Data Science drives high-impact decisions. 

• Apply advanced machine learning techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance. 

• Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability. 

• Work within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production-ready, and aligned with long-term architecture. 

• Mentor other data scientists and contribute to best practices across the team. 

• Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non-technical audiences. 

What We’re Looking For 

You combine technical depth in machine learning with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStation’s understanding of its players and you use this understanding to inform data-driven decisions and strategies that drive player growth. 

• Proven industry experience delivering impactful, production-ready machine learning solutions in areas such as customer value, retention, or personalisation. 

• Strong expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. 

• Ability to critically assess when advanced approaches are warranted versus simpler solutions. 

• Experience owning projects end-to-end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions. 

• Ability to work with large, complex datasets and translate them into scalable solutions. 

• Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non-technical audiences. 

• Proficiency in Python, SQL, and modern ML tooling (such as Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent distributed data processing tools. 

• A strong academic background, typically a Master’s or PhD in a technical or quantitative field, specialising in Machine Learning. 

• Experience deploying models into production and maintaining business-critical or consumer facing models. 

Nice to Have 

• Background in gaming, e-commerce, or subscription-based businesses. 

• Industry experience with experimentation frameworks and causal inference. 

• Experience working in agile, fast-paced environments 

Senior Data Scientist -  Experimentation & Measurement

San Diego, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Staff Data Scientist -  Experimentation & Measurement 

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing:

• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.
• Mentor and guide other Data Scientists, providing thought leadership and technical direction.
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.
• Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

asic Requirements:

• Bachelor’s degree or equivalent.
• 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Broad and applied knowledge of statistical techniques.
• Experience with machine learning modeling is a plus.
• Proven ability to influence product and business decisions through clear, actionable insights.
• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  
  Preferred Requirements:
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Staff Data Scientist -  Experimentation & Measurement 

San Mateo, CA (Hybrid)

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing:

• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.
• Mentor and guide other Data Scientists, providing thought leadership and technical direction.
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.
• Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

Basic Requirements:

• Bachelor’s degree or equivalent.
• 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Broad and applied knowledge of statistical techniques.
• Experience with machine learning modeling is a plus.
• Proven ability to influence product and business decisions through clear, actionable insights.
• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  
  Preferred Requirements:
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Role Overview:

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data.

Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.

Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation.

We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.

By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale.

This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.

What You’ll Be Doing:

• Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.
• Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.
• Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.
• Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
• Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.
• Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.

What we're looking for:

You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems.

• Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.
• Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.
• Proficiency in Python and SQL, with fluency in common data science libraries.
• Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.
• Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.
• A collaborative attitude, with the ability to work in cross-functional teams.
• A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.

Nice to Have:

• Experience with A/B testing or experimentation frameworks.
• Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).
• Exposure to gaming, e-commerce, or subscription-based business models.
• Proven experience of analysing and modelling with “big data” technologies.
• A personal interest in gaming and entertainment.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

OUR  MISSION

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

WHAT YOU’LL DO

As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care’s mission. You will model data, create visualizations to report to stakeholders, and deliver insights that drive action. 

In this position, you will partner with our Product, Engineering, Operations, and Data Science teams to define and lead improvements to our data pipelines, setting direction that enables faster, more effective care delivery and measurement. You will own efforts to reduce latency between our data and applications, designing and building a scalable data architecture and healthcare data models that enable our pharmacy interventions and provider incentive programs.

• Gain a deep understanding of our core data architecture and lead improvements to our data pipelines, balancing near-term needs with long-term architectural health.
• Own and lead the development of data models that make it possible to analyze the nuances of our EMR drug delivery and drug economics in ways that scale across contracts and pharmacy interventions.
• Establish key KPIs and reporting standards that help stakeholders make our operations more efficient.
• Partner with stakeholders to understand and translate their business requirements into technical plans. This involves developing data models, pipelines, and analytics dashboards. For example, you own the end-to-end data life cycle of data ingestion from a practice, standardization and cleaning, core modeling and BI dashboarding for both internal and external partners.
• Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care.

WHAT YOU’VE DONE

• Deep experience working with healthcare data such as electronic health records, claims, or prior auth. 
• Expertise in analytics, data modeling, and data transformation, and have used that expertise to influence decisions beyond your immediate scope. 
• Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines that ensure reliability and scalability across the data platform.
• Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines. 
• A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
• Previous direct involvement drug or Medicare Part D data is a plus.

WHAT LEADS TO SUCCESS

Act with our members in mind. Thyme Care’s mission, and in particular, our member experience, matters deeply to you.
Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs and do what it takes to ensure that urgent and important needs are acted on immediately.
Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.
Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.
Technical ability.  You have deep expertise in analytics, data modeling, and data transformation, with strong proficiency in dbt and SQL to build and maintain data models and pipelines. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
Clear communication.  You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.
Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.

OUR VALUES

At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.

Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $166,500-$185,000. The salary range could be lower or higher than this if the role is hired at another level.  

We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

Your Impact at LILA

As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You’ll design novel frameworks that push the boundaries of LLM-based reasoning methods — while also implementing scalable frameworks that integrate with Lila’s platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized.

What You'll Be Building

• Design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time compute.
• Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows.
• Build scalable model prototypes that can be deployed to solve frontier scientific problems.
• Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches.

What You’ll Need to Succeed

• PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields.
• Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex, and related toolkits).
• Expertise in LLM reasoning methods: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning.
• Ability to balance theoretical research with practical ML engineering to deliver scalable solutions.

Bonus Points For

• Research experience in causal reasoning, symbolic AI, or probabilistic programming.
• Contributions to open-source LLM reasoning frameworks.
• Familiarity with scientific discovery pipelines in chemistry, biology, or materials science.
• Experience with multimodal reasoning (e.g., combining text, image, and experimental data).
• Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL).

Do you consider yourself a self-starter with a real passion for projects involving innovative methods in evidence synthesis? Do you love collaborating, moving the ball forward and rolling up your sleeves? We are growing and seeking a Senior Research Scientist with technical experience in systematic literature reviews and/or indirect treatment comparisons (e.g. NMA, MAIC, STC) for the purposes of health technology assessment submissions. We offer opportunities to work 100% remotely from Canada or the US.

Our culture is similar to that of a start-up, but in a well-funded established global portfolio organization. We pride ourselves on being leaders with vision in our field! Below are some examples of recent work we have published as part of our efforts to support our clients:

• Cope S, Chan K, Jansen JP. Multivariate network meta‐analysis of survival function parameters. Research synthesis methods. 2020;11(3):443-456. https://doi.org/10.1002/jrsm.1405

• Freemantle N, Xu Y, Wilson FR, et al. Network meta-analysis of immune-oncology monotherapy as first-line treatment for advanced non-small-cell lung cancer in patients with PD-L1 expression ≥50. Ther Adv Med Oncol. 2022; 14:17588359221105024. https://doi.org/10.1177/17588359221105024
• Watts, JM, Wang, ES, Jonas, BA, Wilson FR, et al. Matching-Adjusted Indirect Comparison of Olutasidenib and Ivosidenib in Isocitrate Dehydrogenase 1-Mutated Relapsed/Refractory Acute Myeloid Leukemia. Adv Ther. 2026;43:1802–1815. https://doi.org/10.1007/s12325-026-03522-6
• Keeping ST, Cope S, Chan K, et al. Comparative effectiveness of nivolumab versus standard of care for third-line patients with small-cell lung cancer. J Comp Eff Res. 2020;9(18):1275–1284. https://doi.org/10.2217/cer-2020-0134

Senior Research Scientists collaborate across a broad portfolio of sophisticated evidence synthesis projects in a multi-level team structure. Responsibilities include development of deliverables (e.g. study protocols and technical reports), handling day-to-day client communications, as well as delegating and overseeing tasks completed by junior researchers. This position will complete complex job responsibilities independently as well as provide mentorship and direction for others in delivering project work.

Essential functions for this role are:

• Subject Matter Expertise/Domain Knowledge
• Demonstrates understanding of the pharmaceutical industry, medical affairs, and requirements for health technology assessments
• Sufficient understanding of relevant methods to be able to oversee systematic literature reviews (clinical, economic, and/or health-related quality of life) and/or quantitative evidence synthesis studies
• Can identify considerations relevant to the synthesis of available evidence and communicate these within deliverables (e.g., feasibility assessments, statistical analysis plans)
• Deliverable Creation
• Develops client-ready deliverables including protocols, statistical analysis plans, technical reports, and slides
• Strategic Direction
• Contributes to short-term resourcing discussions
• Project Management
• Manages the delivery of components of projects by collaborating with other staff members to ensure high quality outputs
• Helps ensure timely delivery and financial performance of projects or project subcomponents
• Estimates required hours and identifies challenges early on and communicates any changes as well as viable solutions to project lead if necessary
• Client Management
• Reviews update slides/minutes and actions for overall study and viewed by client as independent researcher for specific study or component(s)
• Leads client calls and responds to emails, inviting input from senior team members with methodological/subject matter expertise where appropriate
• Line Management/Team Development
• Creates development plans and acts as a mentor for direct reports
• Business Development
• Contributes to development of proposals and presentations under guidance of more senior team members with methodological/subject matter expertise
• May also participate in meetings related to new business, including concept ideation

Minimum required experience for this role is:

• Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, public health, or science (biology/biochemistry etc.)
• 4-6 years’ professional experience

 Core competencies required for this role are:

• Willingness and desire to learn and share knowledge
• Excellent oral and written communication skills
• Proficiency with Microsoft Office and EndNote
• Proficiency in R/R Shiny advantageous

#LI-TB1

#LI-Remote

We’re looking for a Senior Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Develop impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• Hands-on expertise with using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• Demonstrated experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1360

We’re looking for a Staff Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Originate and lead development of impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Lead constructive technical interactions with client teams to find, define, and solve problems of real-world interest using IonQ trapped-ion quantum computers.
• Represent the team in client and stakeholder presentations, develop presentation content and appropriately adapt it to the audience.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• At least 3 years of professional experience using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• At least 3 years of professional experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1361

We are looking for a Staff Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll be a core member of a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a hands-on expert in fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing quantum algorithms, core IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Lead hands-on development of novel fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches as compared to NISQ and/or classical methods.
• Provide trusted expertise in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Drive constructive technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Develop and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 3 years of professional experience in the quantum computing field
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization 
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 5+ years of professional work experience developing end-to-end solutions for realistic industry problems such as computer-aided engineering, cybersecurity, chemistry, etc.
• Experience working with quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1058

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity.

We are looking for a Lead Microwave Research Scientist. As a Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to work with IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this role, you will develop the requirements for microwave circuits that enable new functionalities for quantum devices. You will design, fabricate, and test microwave circuits for electronic control of qubits. You will develop integration techniques for combining these circuits with optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at the foundry scale.

Responsibilities: 

• Work with architecture teams to turn system-level specifications into component-level specifications and design rules
• Design microwave circuits taking into account target performance, fabrication capabilities, and interactions with other components
• Fabricate test devices
• Own relationships with external vendors to scale up fabrication and testing
• Work with internal test and measurement teams to ensure devices meet target specifications

You’d be a good fit with:

• 5 + years of experience fabricating microwave devices
• PhD in electrical engineering, physics, or a related field
• Experience leading cross-disciplinary teams within large projects
  
  

You’d be a great fit with: 

• Experience with helping in acquiring independent funding for new initiatives
• Experience helping with hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation
• Familiarity with architectures for distributed quantum computing, sensing, and networking

Location: This role will work onsite at our office located in Boston, MA.
Travel: Less than 10% travel
Job ID:  1160

The approximate base salary range for this position is $141,670 - $181,482. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll guide a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a technical leader in the field of fault-tolerant algorithms, you will help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. You will be a core member of technical leadership in quantum algorithms, and you will drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Influence the quantum applications roadmap towards fault-tolerant quantum algorithms that will make a large scientific and commercial impact by leading the origination, execution, and optimization of novel, end-to-end quantum algorithms. Guide other team members towards this goal.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches compared to NISQ and/or classical methods.
• Provide trusted expertise and leadership in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Lead technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Define, develop, and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 5 years of professional experience in the quantum computing field
• 13+ years of professional experience or an equivalent combination of education and experience
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents.
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 7+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, cybersecurity, differential equations solving, simulation of physical systems, etc. 
• Deep expertise in quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1254

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Research Scientist for quantum memory development. As a Senior Research Scientist, you’ll lead part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will do pioneering work in quantum memories for long-range quantum networks and modular quantum computing. You will work with a world-class team of scientists and engineers to build systems that can rapidly process and store quantum information from photons and apply those systems to building scalable quantum computing systems. Your work will stretch from pioneering systems to operationalizing and scaling quantum memory systems that will be the backbone of the world’s largest quantum computers.

Responsibilities: 

• Design and test control sequences for quantum memories with high efficiency and fidelity
• Coordinate with photonic design and fabrication teams to produce high performance nanophotonic devices
• Optimize low-duty cycle tune-up routines to keep quantum memory systems running with high up time
• Continuously improve repetition rate, efficiency, and fidelity of quantum memories
• Interface with RF and optical engineers to scale the control and qubit routing systems for a large scale optical-interconnect architecture

You’d be a good fit with: 

• PhD in physics, applied physics, electrical engineering 
• Work in quantum optics and microwave control of qubits (ideally spin qubits in diamond)
• Experience designing and testing photonics 
• Experience in optically-mediated entanglement protocols between qubits

You’d be a great fit with: 

• Experience architecting high performance electro-optic systems
• Experience in cryogenics (especially dilution refrigerators)
• Experience in RF design
• Experience using Lumerical, Comsol, and/or Sonnet for photonics and RF design

Location: Boston, MA
Travel: Occasional domestic travel, 1 to 4 times per year.
Job ID:  IONQ-1269

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.

We are looking for a Staff Scientist in Quantum Applications to provide technical leadership and hands-on execution across complex, multi-stakeholder quantum application efforts in developing next-generation quantum algorithms and applications on IonQ’s trapped-ion quantum computers. This role is central to IonQ’s mission to translate quantum computing advances into real-world scientific and commercial impact. You will be a quantum algorithms subject matter expert, work closely with internal teams, customers, and partners, drive high-impact applications, and support a new landmark initiative with the University of Chicago.

Responsibilities: 

• Provide technical direction and architectural guidance across multiple quantum application efforts, including establishing best practices for benchmarking, performance analysis, and solution design
• Develop, implement, and optimize novel quantum algorithms that will make scientific and commercial impact in areas such as computational chemistry, optimization, and machine learning
• Work with customers and partners to define and solve problems of real-world interest using IonQ trapped-ion quantum computers
• Discover innovative solutions, rigorously benchmark their performance, and publish results in high-impact, peer-reviewed journals and conferences
• Help shape team culture and create a lasting impact by supporting an initiative that delivers new scientific discoveries and innovation
  
  

You’d be a good fit with:

• 8+ years of professional experience in quantum computing, applied algorithms, or advanced scientific computing, or an equivalent combination of education and experience
• Demonstrated expertise in Python and/or C++, and deep, hands-on experience with Qiskit or similar quantum SDKs
• Hands-on experience developing and optimizing quantum algorithms in areas such as computational chemistry, optimization, and machine learning
• Track record of delivering innovative quantum solutions demonstrated through peer-reviewed manuscripts, invited talks, open-source repositories, licenses, publications, and/or patents
• Deep understanding of key quantum computing concepts and the ability to articulate deeply technical ideas to diverse audiences, ranging from scientists and engineers to business leaders and community stakeholders
• Demonstrated ability to lead technical efforts from problem definition to solution delivery, with strong collaboration and communication skills
  
  

You’d be a great fit with: 

• Ph.D. in computer science, mathematics, engineering, physics, or a closely related field
• Experience with end-to-end ownership of complex quantum application efforts, including the ability to mentor interns and provide technical guidance to junior team members
• Experience with variational quantum algorithms and hybrid quantum-classical workloads spanning CPUs, GPUs, and QPUs
• Experience with developing high-performing algorithms optimized for NISQ systems as well as error-corrected and fault-tolerant quantum computers
• Demonstrated experience with quantum algorithm resource estimation, performance benchmarking, and scaling analysis
• Prior success working with customers, industry partners, or government sponsors to deliver advanced technical solutions
  
  

Location: Remote, US
Travel: 10% domestic and international travel supporting customer engagements and technical conference participation
Job ID:  1314

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity.

Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462

The Role: 

We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.

Responsibilities:

• Work with architecture teams to turn system level specifications into component level specifications and design rules 
• Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components 
• Fabricate test devices in a user facility 
• Build relationships with external vendors to scale up fabrication and testing
• Partner with internal test and measurement teams to ensure devices meet target specifications

Requirements:

• 5 + years of experience fabricating optical or quantum devices 
• A PhD in electrical engineering, physics, or a related field
• Experience leading cross disciplinary teams within large projects 

Preferred Qualifications:

• Experience hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation 
• Familiarity with architectures for distributed quantum computing, sensing, and networking

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We’re looking for a Senior Scientist in Quantum Applications who will be part of a cross-functional team at IonQ, with a mission to deliver the world’s best quantum solutions on the world’s most powerful trapped-ion quantum computers to solve some of the most complex and impactful problems. This role is central to IonQ’s mission to translate quantum computing advances into real-world scientific and commercial impact. You will develop end-to-end quantum applications that drive scientific advancement, collaborate with customers and community partners, and support a new landmark initiative with the University of Chicago.

Responsibilities: 

• Develop, implement, and optimize novel quantum algorithms, applications, and end-to-end workflows that will make scientific and commercial impact in areas such as computational chemistry, optimization, and machine learning
• Work with customers and partners to define and solve problems of real- world interest using IonQ trapped-ion quantum computers
• Discover innovative solutions, rigorously benchmark their performance, and publish results in high-impact, peer-reviewed journals and conferences
• Help shape team culture and create a lasting impact by supporting an initiative that delivers new scientific discoveries and innovation
  
  

You’d be a good fit with:

• 6+ years of professional experience or an equivalent combination of education and experience
• Demonstrated expertise in Python and/or C++, and experience with Qiskit or similar quantum SDKs
• Hands-on expertise developing or optimizing quantum algorithms in areas such as computational chemistry, optimization, and machine learning
• Track record of delivering innovative quantum solutions demonstrated through peer-reviewed manuscripts, invited talks, open-source repositories, licenses, publications, and/or patents
• Strong foundation in key quantum computing concepts and the ability to articulate deeply technical ideas to diverse audiences, ranging from scientists and engineers to business leaders and community stakeholders
• Experience being part of a team that finds, defines, and solves problems of real-world interest, with strong collaboration skills and clear technical communication
  
  

You’d be a great fit with: 

• Ph.D. in computer science, mathematics, engineering, physics, or a closely related field
• Demonstrated experience contributing to customer-facing or partner-facing technical engagements, from problem definition through solution delivery
• Experience with variational quantum algorithms and hybrid quantum-classical workloads spanning CPUs, GPUs, and QPUs
• Experience developing hybrid quantum algorithms for NISQ-era systems as well as early fault-tolerant quantum computers
• Demonstrated experience with quantum algorithm resource estimation, performance benchmarking, and scaling analysis
• Proven success working with customers to define and deliver solutions
  
  

Location: Remote, US
Travel: 10% domestic and international travel supporting customer engagements and technical conference participation
Job ID:  1313

The approximate base salary range for this position is $145,920- $191,047. The total compensation package includes base, bonus, and equity.

Location: This position can work onsite or hybrid from one of our offices or fully remote in the US.
Travel: 10% domestic and international
Job ID: 1489

The Role: 

We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you’ll be part of a cross-functional team whose mission is to lead IonQ on a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ. 

As a technical leader in quantum algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities:

• Develop impactful hybrid quantum applications that accelerate commercial advantage in practice and at scale. Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
• Develop and integrate first-of-a-kind quantum algorithms into end-to-end workflows for real-world applications in materials science and combinatorial optimization, including, but not limited to, interfacing with leading commercial and scientific tools such as Synopsys QuantumATK, Quantum ESPRESSO, VASP (materials science and semiconductor applications), Synopsys LS-DYNA, HFSS, Fluent, Sentaurus, Gurobi, CPLEX, Pyomo (optimization applications); translate practical use cases into quantum-native formulations, connect classical simulation outputs to quantum models such as Fermi–Hubbard and Heisenberg Hamiltonians, and map quantum-computing results back into domain workflows for actionable use in production-relevant applications. 
• Perform hands-on development of fault-tolerant quantum algorithms and collaborate with the Fault Tolerant Quantum Computing (FTQC) algorithms team at IonQ to create a large scientific and commercial impact across a wide range of industry verticals. Contribute deep expertise in classical and quantum algorithms to evaluate and benchmark approaches (FTQC, NISQ, and HPC), clearly communicating state-of-the-art performance, scaling behavior, trade-offs, and cross-over points to stakeholders while driving adoption of standardized benchmarking metrics and tools.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

Requirements:

• Doctorate degree in Physics, Computer Science, Mathematics or another STEM domain, plus 5+ years of professional work experience in the quantum computing field solving the toughest challenges for society.
• Expertise in the quantum simulation of large-scale semiconductor materials and devices, with hands-on experience using tools such as QuantumATK and Quantum ESPRESSO / VASP to analyze band structures, defect states, and related electronic properties across a wide range of materials and lattice types. Experience in parameter extraction / classical simulation transformation for use in quantum-native models for fault tolerant quantum computers.
• Expertise in development and resource estimation of FTQC algorithms across domains in condensed matter physics, semiconductor physics, high energy physics etc. that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value.
• Expertise in application of FTQC algorithms for solving complex combinatorial optimization problems across domains such as transportation, supply chain, logistics and related areas, with hands-on experience developing novel algorithms and software tools for optimization and operations research, supported by a strong track record of peer-reviewed publications and contributions to production-grade codebases.
• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity and ability to communicate from community to business to PhD level.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.

Preferred Qualifications:

• 7+ years of professional work experience developing end-to-end solutions for realistic industry problems in areas such as computer-aided engineering, semiconductor materials design etc. Demonstrated experience with applying commercial tools to solve problem sets of practical relevance.
• Active participant in the FTQC algorithm community including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and community (economic development, standards) with an active portfolio of invited talks, repos, licenses, publications and/or patents.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.
• Experience developing quantum algorithms for NISQ era quantum computers, including hybrid solutions e.g. classical pre/post processing (CPU) and variational (GPU + QPU) energy minimization, QAOA, etc.
• Demonstrated expertise software development using Agentic-AI using Codex, Opus or similar AI assistants.

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

Canada: the pay range for this role is $180,000 to $247,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

San Francisco: the pay range for this role is $211,000 to $290,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

En nuestro equipo de Data Science, tendrás la oportunidad de trabajar como parte de nuestros product squads, desarrollando funcionalidades que enriquecen nuestro producto y brindan la experiencia de primer nivel por la que somos reconocidos. Trabajarás junto a profesionales brillantes con distintas especialidades: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, entre otros. Prepárate para el trabajo de tu vida: desafíos complejos, altas expectativas, mentes brillantes trabajando juntas, conversaciones significativas y una productividad extraordinaria.

Algunos de los problemas específicos en los que trabajamos en el equipo de Data Science incluyen sistemas de búsqueda y recomendación; mejora de la experiencia del cliente utilizando machine learning (como el enrutamiento automático de tickets); modelos de pricing, liquidez y crédito; y la construcción de una plataforma que nos permita desarrollar y desplegar todas estas soluciones.

Nota: Esta es una posición senior. Esperamos que tengas al menos 3+ años de experiencia aplicando Data Science y creando modelos de machine learning. Si tienes las habilidades pero estás comenzando tu carrera en Data Science, te recomendamos postularte a la posición de Data Scientist.

Responsabilidades

• Arquitectar, desarrollar y desplegar sistemas de machine learning en producción. Los principales casos de uso están relacionados con chatbots y sistemas de búsqueda.

• Diseñar y ejecutar experimentos.

• Analizar una amplia variedad de datos (estructurados y no estructurados, observacionales y experimentales) para mejorar los modelos actuales o crear nuevos.

• Aplicar el método científico para desarrollar aplicaciones impulsadas por LLMs, incluyendo probar diferentes prompts, explorar y comprender las capacidades de los LLMs, evaluar agentes y prompts, analizar guardrails de aplicaciones de IA y construir PoCs para validar la viabilidad de IA generativa en funcionalidades de producto.

• Participar activamente en discusiones y decisiones relacionadas con todo el chapter de Data Science (Guilds, Design Reviews, Demos, etc.).

Lo que buscamos

• Personas que quieran aprender y generar impacto real a través de Data Science.

• Conocimiento experto en conceptos de machine learning: regresión y clasificación, clustering, redes neuronales, selección de features, validación cruzada, curse of dimensionality, bias-variance tradeoff, explicabilidad de modelos, entre otros.

• Buena comprensión de los desafíos de ingeniería para desplegar sistemas de machine learning en producción.

• Dominio de Python.

• Conocimientos o experiencia con Deep Learning.

• Experiencia brindando asesoramiento técnico a otros data scientists (liderazgo técnico).

• Excelentes habilidades de comunicación técnica escrita y verbal. Buscamos a alguien apasionado por Data Science y Machine Learning, dispuesto a compartir su conocimiento con los demás miembros del Data Science Chapter.

• Buen nivel de inglés (oral y escrito) es obligatorio.

Te destacarás si

• Tienes un MSc. (o licenciatura + experiencia sólida) en machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing u otros campos relevantes.

• Tienes experiencia con IA generativa aplicada: agentes de IA, prompt engineering, fine-tuning de LLMs (LoRA, QLoRA, PEFT), LLM routing, monitoreo de LLMs y LLM guardrails.

• Tienes experiencia trabajando en startups de rápido crecimiento.

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-FS4

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Location & Remote Work

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• Interview with Recruiter
• Tech Screening
• Technical Interview with Data Products Team
• Offer

About the Area

In our Data Science team, you'll have the chance to work as a part of our product squads delivering features that enrich our product and a first class experience that we are known for. You'll work alongside brilliant minds, with different skills: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, etc. Be prepared for the job of your life - hard challenges, high expectations, intelligent life at work, meaningful conversations, outstanding productivity.

Some of the specific problems we work in the Data Science team include search and recommendation systems; customer experience enhancement using ML such as in automatic routing of tickets; pricing, liquidity and credit models; building a platform that enables us to develop and deploy all those solutions.

Note: This is a senior position. We expect you to have at least 3+ years of experience applying data science and creating machine learning models. If you have the skills, but are starting your journey in Data Science, please apply to the Data Scientist job instead.

Responsibilities

• Architect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and search.
• Design and execute experiments.
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones
• Apply the scientific method to develop LLM-powered applications, including testing different prompts, exploring and understanding LLM capabilities, evaluating agents and prompts, assessing AI application guardrails, and building PoCs to validate the feasibility of generative AI for product features.
• Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.)

What we are looking for:

• People that are seeking to learn and deliver real impact through Data Science
• Expert knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Good understanding of the engineering challenges to deploy machine learning systems to production;
• Proficiency in Python;
• Some knowledge or experience with Deep Learning
• Experience with technical advice for other data scientists (technical leadership);
• Excellent written and verbal technical communication skills. We're looking for someone who loves Data Science & Machine Learning and is willing to share his/her knowledge with the other members of the Data Science Chapter;
• Good English skills (verbal and written) is mandatory.

You'll stand out if you:

• Have a MSc. (or Undergrad + intense experience) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fields.
• Have experience with applied generative AI: AI agents, prompt engineering, LLMs finetuning (lora, qlora, peft), LLM routing, LLM monitoring, LLM guardrails
• Have experience working at fast-growing startups.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.