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

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. 

Environmental Scientist/Industrial Hygienist 

Locations: Los Angeles or Orange County | ~50% field / 50% remote

Apex is seeking an environmental professional with experience in industrial hygiene to perform asbestos, lead-paint, mold/moisture intrusion, exposure assessment, abatement monitoring, and related industrial hygiene and EHS compliance projects across Southern California. 

Employee Benefits
This role offers competitive compensation and a robust benefits package, a balanced mix of fieldwork and report writing, company sponsorship for professional and vocational training, work from home opportunity, collaboration with other industrial hygiene, EHS and other experts, and continued  professional development and growth afforded by a rapidly growing national environmental consulting company.

Key Responsibilities

• Perform asbestos, lead-based paint (LBP), and microbial/moisture intrusion assessments, along with abatement oversight, with an approximate 50/50 split between field and office work
• Conduct safety and compliance assessments in accordance with regulatory standards and client requirements
• Support additional environmental services through cross-training, including:
  • Exposure assessments
  • Workplace safety evaluations
  • Stormwater compliance inspections
  • Soil and groundwater sampling
  • Noise and air monitoring
  • Aboveground Storage Tank (AST) inspections
• Execute work in alignment with project work plans, standard operating procedures (SOPs), and direction from project managers
• Manage scheduling and logistics across all project phases, from coordination and fieldwork through reporting
• Prepare clear, accurate, and technically sound client-ready reports using project-specific templates
• Collaborate with internal teams to support project delivery and ongoing professional development
• Maintain and proactively pursue relevant certifications, including 40-Hour HAZWOPER, CAC, and/or CSST

Qualifications

• 2+ years of professional experience conducting asbestos surveys and mold/moisture intrusion inspections as an AHERA-accredited inspector (in any state)
• Current AHERA certification required
• California Certified Asbestos Consultant (CAC) and/or Certified Site Surveillance Technician (CSST) preferred
• Bachelor’s degree in Environmental Science, Industrial Hygiene, Microbiology, or a related field

What We’re Looking For

• Self-motivated and dependable professional who can work effectively with limited supervision
• Strong technical writing and critical thinking skills
• Solid analytical and math skills for interpreting laboratory data and preparing reports
• Excellent attention to detail with the ability to manage multiple projects and deadlines
• Strong interpersonal skills and ability to collaborate in a team-oriented environment
• Physically capable of performing fieldwork and comfortable working in both field and office settings
• Commitment to safety and a strong understanding of safe work practices
• Interest in growing within industrial hygiene and expanding into broader environmental consulting services

Why you'll love working for us:

• Company-subsidized medical and dental.
• Company-paid life, short, and long-term disability.
• 401k match, tuition assistance, and more.
• Cross-training and the ability to work on a variety of projects.
• Performance-based bonuses or other incentives.
• Working with the best and brightest in the industry.
• 2,000+ employee national firm with 70+ locations across the US.

Req ID: 11507

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. 

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

Please note: This position is not eligible for immigration sponsorship. 

Company Overview 

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. 

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.  

AI Governance Team, AI Risk and Operations 

We are seeking a Vice President, AI Risk and Operations on our AI Governance Team who will play a critical role in maturing and scaling Accordion's enterprise-wide AI Governance risk and operations program. In this role, you will serve as an internal governance practitioner and cross-functional advisor, embedding AI governance policies, procedures, and controls across our operating model for internal AI solutions — with the expectation that this scope will evolve to include client-facing engagements over time. Drawing on your experience with AI policy, frameworks, and risk program design, you will translate complex governance requirements into actionable, scalable implementation systems. This position requires seamlessly bridging the gap between cutting-edge AI development and responsible governance, partnering with senior stakeholders across Practices, Technology, Legal, and Emerging Technology to enabling trusted use and development of AI.  

This position can be based in our New York City or Chicago offices and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. 

This position is not eligible for immigration sponsorship. 

What You’ll Do 

Governance & Frameworks 

• Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations 
• Design and operationalize scalable, end-to-end governance processes across the AI lifecycle  
• Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards  
• Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization 

Cross-Functional Collaboration 

• Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows 
• Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain   
• Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation 
• Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements 
• Maintain the internal AI risk register and escalate issues through appropriate governance channels 
• Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions 

Monitoring & Oversight 

• Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products 
• Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews 
• Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls 
• Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance 
• Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans 
• Stay current on AI regulation, industry standards, and emerging best practices 

Internal Enablement (Evolving) 

• Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization 
• Contribute to Accordion's Trustworthy AI methodology and internal IP development 
• Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands  

You Have 

• Bachelors degree in Finance, Business Administration, or related field  
• 7+ years’ experience in Risk Operations, Privacy Programs, or PMO/IMO, with at least 3 years directly focused on AI governance or oversight - preferably within professional services, consulting, or PE-backed environments. 
• Demonstrated experience leading complex, multi-jurisdictional integrations and/or global expansion programs, with a track record of building and running structured governance. 
• Strong knowledge of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into operational controls 
• Strong grasp of AI/ML technical risks (e.g., bias, model drift, robustness) and associated controls 
• Strong familiarity with regulatory and operational considerations relevant to cross-border professional services (e.g., data/privacy, employment, tax, licensing), and the ability to operationalize them into business processes. 
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams 
• Comfortable operating in a high-growth, entrepreneurial environment, with a bias toward structure, scalability, and execution discipline. 
• Strong analytical and problem-solving skills  
• AI usage and familiarity required 
• Excellent attention to detail and organizational skills   
• Ability to adapt to changing priorities and work effectively in a dynamic environment   

Preferred Qualifications 

• Experience in Data Risk Management or direct collaboration with AI/ML development teams 
• Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting 
• Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices 
• Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM) 
• Passion for AI and a desire to build a world-class risk management function  

You Are 

• Energized by building and scaling governance programs that make AI deployment safer, more trustworthy, and more compliant — across a dynamic, fast-moving consulting environment 
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams — and can drive decision making and ownership across diverse stakeholders 
• A clear communicator who can translate AI governance concepts, regulatory requirements, and risk findings into actionable guidance for business, technical, and executive audiences 
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations, and can turn frameworks into operational reality 
• An adaptive contributor who embraces the breadth and pace of consulting, working across diverse sectors and practice areas 

The annual salary for this role ranges from: $130,500 to $145,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.  

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. 

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. 

#LI-HA1

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

JOB DESCRIPTION:

The Sr. Data Analyst will play a pivotal role in maximizing revenue and driving dynamic pricing strategy across ticketing products and fan segments. Using statistical modeling and machine learning, this role will measure price elasticity, forecast revenue, and predict customer demand. The position will collaborate closely with cross-functional teams, including Sales, Service, Marketing, and Operations, to deploy scalable data science tooling, drive decision-making, and optimize sales.

 ESSENTIAL FUNCTIONS:

• Implement and manage dynamic pricing mechanisms to adjust ticket prices in real-time based on factors such as team performance, opponent strength, and event timing. 
• Utilize models and data analysis to identify pricing trends, optimize ticket prices, and forecast revenue potential for various seating categories. 
• Manage the end-to-end data science lifecycle from model design, development, deployment, maintenance, and model updates.  
• Provide expertise, analysis, and guidance for promotional campaigns, ensuring alignment with overall pricing strategies. 
• Effectively collaborate with business partners to communicate findings and understand key pricing problems and define strategic priorities. 
• Partner closely with the Data Engineering team to structure, validate, and optimize data pipelines and data models for analysis and resolve any data discrepancy. 
• Build and maintain SQL-based views across data warehouses, ensuring suitability for reporting, accuracy, performance, and data integrity. 
• Communicate findings and next steps to leadership. 

SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY:

The Sr. Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities:

QUALIFICATION STANDARDS:

Education:

• BA/BS Degree in mathematics, engineering, physics, or related quantitative field

Experience:

• Bachelor’s degree in mathematics, engineering, physics, or related quantitative field 
• 2+ years’ experience as a data scientist, pricing analyst, data analyst, or equivalent 
• Data Science certification required, master’s degree in data science, statistics, computer science, engineering, economics, analytics or a related quantitative field preferred 
• Expertise in SQL, statistical programming (Python) and Spark 
• Experience working with MLOps workflows and platforms, including Databricks, Azure ML, SageMaker or similar tools is preferred.  
• Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset 
• Strong statistical knowledge and proven experience developing forecasting, demand prediction, and dynamic pricing models, and driving revenue outcomes in a data-driven, agile organization. 
• Strong communication skills and ability to work with all levels of employees; must be able to communicate technical aspects to non-technical team members 
• Ability to work independently to accomplish work objectives, while also thriving in a team environment 
• Experience or interest in sports/live entertainment a plus 

Payscale: $79,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

#LI-LAKings #LI-Onsite

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

We are hiring an Applied Scientist to help advance personalization across the Crunchyroll ecosystem. In this role, you will lead the scientific development of recommendation, ranking, and decisioning solutions that improve how fans discover and engage with anime series/movies, manga, merchandise, games, and other areas in the anime fandom. You will partner closely with Machine Learning Engineers, Product, Engineering, Marketing, and Content stakeholders to make Crunchyroll the ultimate destination for anime experience.

About the role

In the role of Senior Applied Scientist for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in our Center for Data and Insights. You will own the research and applied science agenda for personalization, from problem framing and data exploration through model development, evaluation, experimentation, and iteration. This role is ideal for someone who enjoys combining strong scientific rigor with product thinking to improve user discovery, engagement, retention, and long-term fan value.

You will work across multiple user touchpoints, including app and web interfaces, lifecycle and promotional email campaigns, and flywheels that connect video, ecommerce, manga, and adjacent experiences. You will help define what great personalization looks like at Crunchyroll, build the evidence to prove impact, and collaborate with engineering partners to ensure the resulting solutions can be productionized effectively.

This position is based in our Los Angeles office, but we will consider our San Francisco office as a secondary location. We work a hybrid schedule, in-office three days a week: Tuesday, Wednesday, and Thursday. 

Core areas of responsibility

• Lead the research and development of recommendation, ranking, retrieval, and personalization methods tailored to Crunchyroll use cases across streaming, manga, ecommerce, and lifecycle marketing surfaces.
• Frame ambiguous business and product questions into clear scientific problems, hypotheses, success metrics, and experimentation plans.
• Design and run robust offline evaluation frameworks for recommender systems, including relevance, diversity, novelty, coverage, calibration, and long-term value metrics.
• Partner with Product, Analytics, and Engineering to define online experiments, interpret results, and turn learnings into roadmap decisions and model improvements.
• Develop user, content, and contextual understanding through feature design, representation learning, segmentation, and behavioral analysis.
• Prototype and evaluate a range of approaches, including collaborative filtering, content-based methods, sequence modeling, deep learning, bandits, causal or uplift methods, and LLM-enabled recommendation techniques where appropriate.
• Analyze user feedback loops and cross-domain interactions to improve discovery across video, merchandise, manga, and other ecosystem experiences.
• Work closely with Machine Learning Engineers to translate promising research into production-ready solutions on our in-house recommendation platform.
• Communicate scientific findings, model tradeoffs, and business implications clearly to technical and non-technical stakeholders.
• Help establish best practices for experimentation, reproducibility, model governance, and scientific documentation within the personalization and recommendations function.

About you

We get excited about candidates, like you, because you have:

Experience: You bring 5+ years of experience in applied machine learning, recommendation systems, search/ranking, experimentation, or a closely related area, with a track record of driving measurable product impact.

Scientific Depth: You have strong foundations in machine learning, statistics, experimental design, and causal thinking, and you know how to choose the right level of modeling complexity for the problem at hand.

Recommendation Expertise: You have hands-on experience with at least some of the following: collaborative filtering, retrieval and ranking systems, representation learning, sequence / generative models, bandits, graph methods, or personalization for consumer products.

Technical Skills: You are highly proficient in Python and comfortable working with common ML libraries such as PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar tooling. Experience working with SQL, distributed data processing, and cloud-based ML workflows is strongly preferred.

Experimentation Mindset: You know how to design offline and online evaluations, reason carefully about metrics, and connect experimental findings to user and business outcomes.

Cross-Functional Collaboration: You have experience partnering effectively with engineers, product managers, analysts, marketers, and business stakeholders to move from idea to execution.

Communication Skills: You can explain sophisticated modeling decisions and ambiguous findings in a clear, decision-oriented way to diverse audiences.

Educational Background: You hold an MS or PhD in Computer Science, Machine Learning, Statistics, Operations Research, Economics, or a related quantitative discipline, or you bring equivalent applied industry experience.

Nice to have

• Experience personalizing content, commerce, media, entertainment, gaming, or subscription products at scale.
• Familiarity with recommender-system failure modes such as popularity bias, cold start, sparse feedback, and feedback loop effects.
• Experience with multi-objective optimization, constrained ranking, or balancing short-term engagement with long-term user value.
• Exposure to generative AI, representation learning, or LLM applications that support recommendation and personalization workflows.
• Published research, patents, or open-source contributions in recommendation systems, personalization, applied machine learning, or experimentation.

About the team

Our centralized DS/ML team serves stakeholders across Finance, Product, Engineering, Marketing, Creatives, and Content Operations with data-driven and ML/AI-powered solutions. Within that broader organization, the Personalization and Recommendation group is building the next generation capabilities to power tailored fan experiences across every major user interface and lifecycle touchpoint. Today, the team includes engineers focused on operationalizing our recommendation platform with strong engineering excellence. This Applied Scientist role complements that foundation by bringing deeper scientific ownership to modeling strategy, evaluation, and experimentation, while partnering closely with an additional MLE hire to accelerate production impact.

Why this role is exciting

• You will help define personalization strategy across multiple surfaces instead of optimizing a single narrow funnel.
• You will work on problems that span content discovery, user engagement, retention, and cross-domain ecosystem value.
• You will influence both what we build and how we measure success, with strong exposure to partners across the business.
• You will join at a formative moment, with the opportunity to shape team standards, technical direction, and long-term roadmap.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About the role

In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco.

We are seeking a Data Scientist with skills and experience in using User Behavior Analytics and Modeling to kick start our effort to detect and deter account sharing by leveraging platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors. This position focuses on uncovering insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting revenue growth and subscriber retention strategies inspired by industry leaders like Netflix and Disney+.

Core Areas of Responsibility

• Conduct exploratory data analysis on user session logs to establish baselines for normal and anomalous behaviors.
• Develop predictive models using statistical and machine learning techniques to forecast and segment user sharing patterns.
• Design and conduct experiments to validate the model accuracy and operations effectiveness.
• Collaborate with cross-functional teams to define data requirements and create frameworks for ongoing behavioral monitoring.
• Build visualizations and reports to communicate insights on user engagement and potential sharing risks to stakeholders.
• Ensure data privacy compliance while optimizing data pipelines for efficient operations.

About You

We get excited about candidates, like you, because you have the following:

• Experience: You have 5+ years in data science roles focused on behavioral analytics, preferably in tech or streaming industries, with proven success in user behavior modeling, anomaly and fraud detection, and related applications.
• Technical Skills: Proficient in Python for data analysis and modeling, SQL for database querying, and tools like Tableau or matplotlib for visualization, with experience in machine learning libraries such as xgboost, scikit-learn, and pytorch for modeling.
• Cross-Functional Collaborations: Skilled at partnering with engineering, product, and legal teams to align analytics with business objectives and integrate findings into product features.
• Communication Skills: Adept at presenting complex behavioral insights in clear, actionable formats to non-technical audiences through reports and visualizations.

Education Background: Hold a master's degree in data science, statistics, computer science, or a related field, with coursework in behavioral economics or psychology being advantageous.

About the Team

You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn't a role about building models in isolation—it's about transforming how a business makes decisions, identifies opportunities, and drives growth. You'll be equal parts analyst, advisor, and architect of our strategic direction.

What You'll Do

You'll sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You'll work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.
Your day-to-day will involve identifying the right questions to ask before anyone else thinks to ask them, building the analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You'll own strategic initiatives from conception through execution, measuring impact and iterating as you go. You’ll travel to client sites as needed, leading AI assessment and Strategy Engagements.

What We're Looking For

The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long-term planning. You've seen how businesses succeed and fail, and you know how to spot the difference.
The Technical Depth: You're genuinely strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are still in your wheelhouse.
The Translation Layer: You can explain complex analytical concepts to non-technical stakeholders without dumbing them down. You know how to build conviction around data-driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
The Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers. You've worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.

Requirements

• 5+ years of experience in analytical roles with increasing strategic responsibility
• Strong foundation in statistics, machine learning, and quantitative analysis
• Demonstrated experience influencing business strategy through data
• Track record of identifying and driving growth opportunities
• Excellent communication skills with technical and executive audiences
• Proficiency in modern data science tools and languages
• Understanding of business finance and growth frameworks

Ideal Background

You might come from management consulting with deep analytical chops, strategic roles at high-growth companies, corporate strategy teams with hands-on data work, or data science roles where you've grown into strategic advisory. What matters most is that you've successfully used data to change how businesses operate and grow.

What Success Looks Like

In your first year, you'll have identified three major strategic opportunities we weren't seeing before, built the analytical infrastructure to evaluate them rigorously, and driven at least one to implementation with measurable business impact. You'll have become a trusted advisor to leadership and the person they turn to when facing the company's thorniest strategic questions.

The annual salary for this role ranges from: $145,000 to $195,000 USD + bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

The Opportunity

Join Enigma's Growth Team at a pivotal moment as we continue to create sales and marketing solutions for small businesses. We're seeking an experienced Engineer to develop and build innovative data products and systems that directly impact our customers and accelerate our growth. Your work will influence decisions for companies that employ half the U.S. workforce, creating tremendous value for our clients.

The Role

As a member of the Growth Team, you will:

• Design, develop and deliver data products that solve critical customer pain points and build scalable, high-quality systems that deliver rich interactions with our data.
• Engage with software engineers, data scientists, and product managers to create experiences that move a customer from discovery to evaluation to purchase.
• Analyze and extract value from data at scale, building efficient, maintainable production-grade data solutions.
• Create scalable and highly maintainable systems deployed in cloud environments.
• Own architecture and design decisions as well as hands-on implementation, ensuring that customer experiences are compelling and have low costs of ownership.

What You’ll Do

• Operates with a bias for action and knows how to deliver value in the short, medium, and long term.
• Loves interacting with product teams and works hard to solve customer problems in a repeatable way.
• Adopts a principled, metrics-driven approach to difficult data problems and demonstrates excellence in their analytics and engineering craft.
• Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged.
• Has a “can-do” attitude and thrives on a highly collaborative, cross-functional team that plays a critical role in the company’s success.
• Is eager to own architecture and design decisions as well as hands-on implementation.

What Makes This Role Exciting?

• Impact: Develop products that take an innovative data-first approach to solving high-value customer problems.
• Technical Challenge: Tackle complex data and engineering problems while balancing customer impact, reliability, scalability, data quality, and an ambitious forward development plan.
• Multifaceted Role: At different points in your work, you’ll need to think like a software engineer and a data scientist and balance these perspectives.
• Ownership: You’ll work directly with customers, product teams and cross-functional partners to design and build products based on your learnings. The data experiences you create will have a direct impact on our customers' perception of the value our product delivers and the speed of the sales cycle.
• Financial Impact: Your work will enable firms to identify and market to small businesses much faster, generating sizable financial returns for our clients and Enigma, while helping those small businesses succeed.

Our Ideal Candidate

• Has 5+ years of software engineering experience and Python expertise.
• Enjoys collaborating with cross-functional partners (product managers, designers, and data scientists) to deliver a unique user experience.
• Is driven to work with customers to have an impact on the real world.
• Operates with a bias for action and knows how to deliver value in the short, medium, and long term.

Bonus Points If You

• Have experience building data pipelines and products at scale.
• Bring prior experience in Python, Spark and Databricks.
• Have worked on data products in the sales and marketing space.

Join us and make a significant impact on small businesses and our growth trajectory!

About Us

At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Salary Range: $160,000-$210,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Staff Research Scientist, you push the boundaries of what’s possible and raise the bar for research quality and its translation into extraordinary gameplay.

The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games. As a Staff Research Scientist, you will research and develop world models—learned representations that understand, predict, and simulate game environments. Rather than building general-purpose large language models, you will focus on models that capture the structure and dynamics of Riot's games: how state evolves, how players behave, and how design changes ripple through complex systems. Your work will power scalable simulation for agent training, automated game balancing, synthetic data generation, and new forms of language-conditioned game interaction. You will stay deeply hands-on, turning advances in predictive simulation, latent state representations, and environment modeling into concrete prototypes that game teams can evaluate and build on. You will work closely with game teams to ground your research in real gameplay needs and partner across Technology Research to connect world models with game AI and NLP efforts.

Responsibilities:

• Propose, implement, and evaluate world models that learn latent representations of game state, player behavior, and environment dynamics
• Build predictive simulations that enable agent training, game balance testing, and rapid design iteration without full game server overhead
• Develop methods for synthetic data generation and auto-balancing powered by learned environment models
• Explore language-conditioned approaches that combine large language models with state estimators to enable new forms of game interaction
• Work closely with game teams to understand gameplay needs and design constraints, ensuring research is grounded in real player experiences
• Partner with game AI and NLP researchers to integrate world models into broader AI systems across Technology Research
• Stay current with academic and industry advances in world models, predictive simulation, representation learning, and environment modeling (e.g., MuZero, Gato, Dreamer)
• Communicate progress and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t

Required Qualifications:

• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience (i.e., M.Sc. with 3+ years of relevant experience, or B.Sc. with over 6+ years of relevant experience, etc.)
• 2+ years experience in deep learning or algorithmic foundations of optimization
• Experience with generative models, representation learning, model-based reinforcement learning, or learned simulation
• Proficiency in C, C++, or Python
• Expertise with TensorFlow or PyTorch

Desired Qualifications:

• Experience building or training world models, dynamics models, or latent-space simulators (e.g., Dreamer, MuZero, or similar architectures)
• Familiarity with game engines (e.g., Godot, Unity, or Unreal) for prototyping or data collection
• Distributed computing systems design or large-scale model training infrastructure
• Experience with GCP or AWS
• Demonstrated contributions to public research (e.g., publications, talks, open-source projects)

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.

ABOUT THE ROLE

As a Data Scientist at AE Studio, you’ll work on a mix of client projects and internal research initiatives. You’ll solve real-world problems, help build meaningful products, and contribute to groundbreaking AI alignment research. Your work will involve building data-driven solutions, leveraging machine learning models, and using your creativity to deliver results that matter.

In addition to client projects, you’ll have the opportunity to propose and pursue high-impact research projects, especially those aligned with our mission of increasing agency. Promising projects could even become prioritized skunkworks initiatives.

We want problem-solvers who are adaptable, collaborative, and excited to push boundaries. If this sounds like you, let’s talk.

ABOUT YOU

You thrive on solving challenging problems and bring a mix of technical expertise, creativity, and humor to your work. You enjoy working independently but also love collaborating with a team that shares your passion for making a difference.

Required Skills and Experience

• Fluency in Python..
• Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation.
• Proven data science experience: You’ve been a key contributor to impactful projects and know how to deliver results with real-life outcomes.
• Statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.
• Deep learning experience: Expertise in building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX.
• Agile & AI-powered development: You run lean Kanban/Scrum cycles and leverage AI-powered tools like Cursor to prototype quickly and ship high-impact solutions.
• Growth mindset: You embrace challenges, value progress over perfection, and constantly seek to improve.
• Self-management: You can work independently, take ownership of projects, and deliver without constant oversight.
• Product and UX understanding: You care about delivering a seamless, user-friendly experience.
• Effective communication in English: Clear, concise, and maybe even witty communication is essential.

Bonus Points for

• Self-managed projects: Ideally something that you helped develop from zero and shipped to real users.
• Startup experience: You thrive in dynamic environments and enjoy taking on new challenges.
• Client relationship management: Experience managing clients and delivering excellent results.
• Passion for AI alignment: You care deeply about humanity’s future and want to help navigate the challenges of advancing AI.

WHAT WE OFFER

• Remote-first culture: Work from anywhere, or join us in one of our offices.
• Flexible schedules: We care about outcomes, not micromanagement.
• Competitive pay: Regular performance-based raises and a diversified employee equity program.
• Opportunities for growth: Work on cutting-edge R&D and propose projects that could become our next skunkworks focus.
• Supportive environment: A team that collaborates, mentors, and shares knowledge.
• Perks: Health insurance, free lunches (at the office), weekly knowledge-sharing talks, and an annual team retreat.

Salary range is from $120K to $220K per year for people based in California. 

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.

ABOUT THE ROLE

As a Data Scientist at AE Studio, you’ll work on a mix of client projects and internal research initiatives. You’ll solve real-world problems, help build meaningful products, and contribute to groundbreaking AI alignment research. Your work will involve building data-driven solutions, leveraging machine learning models, and using your creativity to deliver results that matter.

In addition to client projects, you’ll have the opportunity to propose and pursue high-impact research projects, especially those aligned with our mission of increasing agency. Promising projects could even become prioritized skunkworks initiatives.

We want problem-solvers who are adaptable, collaborative, and excited to push boundaries. If this sounds like you, let’s talk.

ABOUT YOU

You thrive on solving challenging problems and bring a mix of technical expertise, creativity, and humor to your work. You enjoy working independently but also love collaborating with a team that shares your passion for making a difference.

Required Skills and Experience

• Fluency in Python..
• Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation.
• Proven data science experience: You’ve been a key contributor to impactful projects and know how to deliver results with real-life outcomes.
• Statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.
• Deep learning experience: Expertise in building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX.
• Agile & AI-powered development: You run lean Kanban/Scrum cycles and leverage AI-powered tools like Cursor to prototype quickly and ship high-impact solutions.
• Growth mindset: You embrace challenges, value progress over perfection, and constantly seek to improve.
• Self-management: You can work independently, take ownership of projects, and deliver without constant oversight.
• Product and UX understanding: You care about delivering a seamless, user-friendly experience.
• Effective communication in English: Clear, concise, and maybe even witty communication is essential.

Bonus Points for

• Self-managed projects: Ideally something that you helped develop from zero and shipped to real users.
• Startup experience: You thrive in dynamic environments and enjoy taking on new challenges.
• Client relationship management: Experience managing clients and delivering excellent results.
• Passion for AI alignment: You care deeply about humanity’s future and want to help navigate the challenges of advancing AI.

WHAT WE OFFER

• Remote-first culture: Work from anywhere, or join us in one of our offices.
• Flexible schedules: We care about outcomes, not micromanagement.
• Competitive pay: Regular performance-based raises and a diversified employee equity program.
• Opportunities for growth: Work on cutting-edge R&D and propose projects that could become our next skunkworks focus.
• Supportive environment: A team that collaborates, mentors, and shares knowledge.
• Perks: Weekly knowledge-sharing talks, an annual team retreat, and much more.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

AE Studio is an LA-based company focused on increasing human agency, primarily by making the imminent AGI future go well. Our team consists of the best developers, data scientists, researchers, and founders. We do all sorts of projects, always of the quality that makes our clients sing our praises. 

We’ve worked with Samsung, Walmart, Berkshire Hathaway, and other large, important entities you’ve probably heard of.  Our work environment is fantastic for aspiring coders, calculators, and entrepreneurs.  Also, we have neither VC, nor PE, nor other acronyms funding us.  We have a weird business model where we sell our work for a profit and use those profits to pay people (I told you it was weird!). We then reinvest those profits into our promising research on AI alignment and our ambitious internal skunkworks projects. We previously sold one of our skunkworks for some number of millions of dollars.

We have made a name for ourselves in cutting-edge brain computer interface (BCI) R&D, and we are making a name for ourselves in our research and policy efforts on AI alignment. We want to optimize for human agency, if you feel similarly, please apply to support our efforts. Data scientists will have the opportunity between client projects to work on important alignment research, with the opportunity to potentially have your research project prioritized if particularly promising.

ABOUT YOU

• Experience with ML or alignment research
• You care about AI alignment, and are optimistic in humanity’s capacity to problem solve and safely navigate accelerating AI capabilities and have an awesome future
• Eager to use AI and automate everything you do
• Comfortable working in a fast-paced, startup-like environment
• Proven data science experience–primary or equal contributor, multiple smaller projects, management of stake-holders.
• Experience working with / building / training deep learning-based computer vision or NLP models or LLMs
• Lots of experience with Python
• Experience calling AI models’ APIs via REST or client libraries
• Growth mindset. Excited about learning new things and solving difficult problems
• Demonstrated ability to work independently/autonomously
• Track record for breaking down complex problems into manageable chunks for individual or team execution
• Full-time availability–but if you have cool side projects that increase human agency, we totally want you to keep working on it...we’ll even help!
• Ability to communicate effectively and work exclusively in English and communicate complex technical concepts clearly to a non-technical audience

BONUS POINTS FOR

• Experience with self-managed data science projects - show us your cool side hustles, especially if they increase human agency
• Experienced with software engineering best practices/software development background
• Agile experience (worked with Kanban, Scrum, Extreme Programming)
• JavaScript / Node.js experience
• Experience managing clients and client relationships
• Experience in startups
• Being in LA to work in person from our amazing office

Salary range is from $120K to $220K per year for people based in California. 

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Principal Research Scientist, you operate at the frontier of what’s possible and set the standard for how research is conducted and how it translates into extraordinary gameplay.

As a Principal Research Scientist in Tech Research, you will lead a small, cross-functional team focused on building AI-powered gameplay prototypes. These prototypes are not paper exercises, instead they are playable, opinionated explorations of new game mechanics, agent behaviors, and player experiences enabled by modern AI. You will be responsible for identifying promising research directions, translating them into concrete gameplay experiments, and driving them from early concept through working prototypes that influence game teams. You will be the technical and creative lead on complex, ambiguous problems where success requires strong judgment, rapid iteration, and an ability to balance research rigor with hands-on building. You will set the vision and quality bar, leading by example in various capacities, including writing code, shaping robust systems, and mentoring team members. You will lead AI-driven gameplay exploration who is tasked with rapidly testing new ideas through playable prototypes, rigorous evaluation, and real player insight. Your team will identify emerging research with the potential to meaningfully change gameplay, turn it into concrete gameplay experiments, and work with game teams to transform validated breakthroughs into options Riot can confidently commit to.

Responsibilities:

• Define and lead AI-powered gameplay research directions, translating emerging ML/AI capabilities into concrete, playable game prototypes
• Build, lead, and mentor a small cross-functional team, setting technical direction while remaining deeply hands-on
• Own research and prototyping roadmaps, milestones, and risk management for multi-quarter initiatives
• Work closely with game teams to understand player goals and design constraints, ensuring prototypes are grounded in real gameplay needs
• Rapidly iterate on prototypes, balancing research rigor with playability, performance, and developer usability
• Stay current with academic and industry advances in AI for games, reinforcement learning, generative models, and agent systems
• Communicate vision, progress, and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t

Required Qualifications:

• MS in Computer Science or equivalent with 6+ years research experience or BS in Computer Science or equivalent with 8+ years research experience
• Strong background in applied or foundational research, with experience leading projects through hypothesis-driven experimentation
• 2+ years of experience in machine learning for sequential decision-making, agents, or complex systems (e.g., RL, imitation learning, planning, or hybrid approaches)
• Proficiency in C, C++, or Python
• Demonstrated contributions to public research (e.g., publications, talks, open-source projects)
• Experience designing and implementing complex systems that integrate ML with real-time or interactive environments
• Expertise with PyTorch or TensorFlow
• Experience working in commercial game engines for prototyping or production
• Strong understanding of gameplay systems, game loops, and real-time constraints
• Experience collaborating closely with designers and engineers in a game development context

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.

​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Deliver high-quality analytical and modeling outputs with limited manager oversight
• Collaborate closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Provide guidance or informal mentorship to junior data scientists or analysts when needed
• Contribute to improving data science practices, tooling, and documentation

Requirements:

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Master’s degree in a quantitative or technical field
• Knowledge of or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.

​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Deliver high-quality analytical and modeling outputs with limited manager oversight
• Collaborate closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Provide guidance or informal mentorship to junior data scientists or analysts when needed
• Contribute to improving data science practices, tooling, and documentation

Requirements:

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Master’s degree in a quantitative or technical field
• Knowledge of or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.

​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Deliver high-quality analytical and modeling outputs with limited manager oversight
• Collaborate closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Provide guidance or informal mentorship to junior data scientists or analysts when needed
• Contribute to improving data science practices, tooling, and documentation

Requirements:

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Master’s degree in a quantitative or technical field
• Knowledge of or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

The Role

We’re seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints.

You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions.

You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions.
• Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale.
• Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process.
• Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift.
• Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable.

What You've Done

• 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred.
• Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost).
• Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement.
• Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL.
• Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact.
• Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences.

Nice to have:

• Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety.
• Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring.
• Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The Role

We’re seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints.

You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions.

You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions.
• Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale.
• Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process.
• Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift.
• Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable.

What You've Done

• 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred.
• Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost).
• Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement.
• Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL.
• Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact.
• Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences.

Nice to have:

• Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety.
• Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring.
• Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Position Overview:

We’re looking for a talented, curious, driven, and self-starting data scientist to join our team. The ideal candidate is a critical thinker familiar with SaaS products and metrics, has a strong background in statistics and data modeling, can clearly communicate complex concepts to a variety of audiences, and is excited to partner with engineering to implement the data infrastructure and stack for a rapidly growing startup. This is a highly dynamic, fast-paced environment where you’ll be trusted with real ownership — from defining our data stack to shaping how insights guide our product roadmap.

You’ll help lay the foundation of our data culture, working across engineering, product, and business teams to ensure data drives decisions at every level.

Key Responsibilities:

Data Tooling & Culture

• Play a critical role in defining and setting up our data and experimentation stack
• Partner with engineering to ensure our data is clean, scalable, and usable, considering real-world deployment constraints
• Create and champion best practices to create a data-driven culture

Product Analytics & Insights

• Analyze large, complex datasets to uncover patterns, trends, and insights to inform product and business decisions
• Help define the product roadmap through analysis of the user journey, user behaviors, and product trends
• Design, launch, and analyze A/B tests or data-led product features
• Partner with product teams and leadership to define new metrics and make prioritization decisions

Business Intelligence & Visualizations

• Build and maintain production-quality dashboards so that team members can access product and business metrics, in a self-serve way
• Ensure BI tools are dependable and up-to-date
• Translate complex analyses into simple, visual stories that drive alignment and action.

Collaboration and Communication

• Collaborate with cross-functional teams to define and refine model requirements
• Communicate findings and insights effectively to both technical and non-technical stakeholders
• Share findings with the rest of the company, helping drive better decision making across marketing, sales, and product teams

Preferred Qualifications:

• Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Business Analytics or related field)
• 3+ years of relevant work experience in Data Science, Business Intelligence, Product Analytics, or a related function
• Expert in SQL and proficiency in at least one scripting language (R or Python)
• Defined, implemented, and operationalized new feature and product-level metrics from scratch
• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives
• Excellent problem-solving skills and ability to work in a collaborative team environment

What HeyGen Offers:

• Competitive salary and benefits package
• Dynamic and inclusive work environment focused on innovation and creativity
• Opportunities for professional growth and skill development
• Collaborative culture that values teamwork and employee input
• Access to state-of-the-art technologies and tools

Salary Range
$170,000 – 220,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's reshaping the world of visual storytelling!

This post has been generated on behalf of our client:

Job Description: We are looking for a talented Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large datasets, developing predictive models, and extracting insights to drive data-informed decision-making.

Responsibilities:

• Identify, clean, and preprocess large datasets for analysis
• Develop and implement machine learning algorithms and models
• Analyze and interpret complex data to extract actionable insights
• Collaborate with cross-functional teams to define data requirements
• Present findings and recommendations to stakeholders in a clear and concise manner
• Stay updated with the latest advancements in data science and machine learning

Requirements:

• Master's or Ph.D. in Computer Science, Statistics, or a related field
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and statistical modeling techniques
• Strong knowledge of data visualization tools and techniques
• Excellent communication and presentation skills

Salary Range: $100,000 - $150,000 per year