Data Scientist Jobs in Israel.
All active Data Scientist roles based in Israel.
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.
Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.
You’re welcome to work in our office in Tel Aviv.
Your responsibilities will include:
- LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
- Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
- Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
- Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
- Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
- Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
- Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.
We expect you to have:
- Experience as a data scientist or applied ML practitioner (5+ years).
- Experience building and deploying LLM-based systems in production.
- Experience working in production environments with model monitoring and iteration.
- Experience with modern data science and ML ecosystems using Python.
- Experience working with large datasets and strong SQL skills.
- Understanding of LLM evaluation, prompt design, and system behavior.
- Strong foundation in statistics and machine learning fundamentals.
- Demonstrated ability to deliver production-grade AI systems end-to-end.
- Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
- Working knowledge of spoken and written English.
It will be an added bonus if you have:
- Experience with RAG architectures and retrieval systems.
- Experience designing or working with agent-based workflows.
- Experience with MLOps tools and production ML systems.
- Experience working in cloud environments (preferably Azure).
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.
The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.
You’re welcome to work in our offices in Tel Aviv.
Your responsibilities will include:
- Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
- Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom , tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
- Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
- Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
- Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
- Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
- Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
- Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.
We expect you to have:
- Experience as a data scientist working in production environments (5+ years).
- Experience with time series modeling and forecasting techniques.
- Experience building reliable data pipelines and working with large datasets.
- Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
- Strong SQL skills and experience working with large datasets.
- Strong foundation in statistics and machine learning fundamentals.
- Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
- Demonstrated ability to take models from idea to production and ensure ongoing value.
- Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
- Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
- Working knowledge of spoken and written English.
It will be an added bonus if you have:
- Experience working in cloud environments (preferably Azure).
- Experience with MLOps tools and production model lifecycle management.
- Experience with workflow orchestration tools such as Apache Airflow.
- Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Realize your potential by joining the leading performance-driven advertising company!
As a Senior HRBP on the HR department in our Tel Aviv Office, you’ll play a vital role in owning and delivering the strategic HR roadmap for R&D / Product departments. Reporting to the Director of HR, Global Tech, the role incumbent will have a deep understanding of the business context, culture, and challenges faced as well as an understanding of the importance of designing global, scalable, and agile people processes to meet the needs of a dynamic, scaling organization.
We aren't looking for a traditional HRBP. We want a partner who views AI and automation as the ultimate leverage for HR. You don’t need to be a data scientist, but you should be someone who reads about LLMs, experiments with productivity tools, and dreams of an HR department where technology handles the routine so people can handle the exceptional!
To thrive in this role, you'll need:
- Extensive experience of at least 6-8 years in HR business partnering, with a strong generalist HR background
- A proven ability to balance strategic planning with hands-on execution, guiding their efforts to achieve impactful results while promoting innovative and progressive ways of working.
- Strong analytical skills to provide actionable insights and a commercial mindset to align HR strategies with business objectives.
- Exceptional communication skills and the ability to adapt to different audiences, build strong relationships, and influence stakeholders effectively.
- A proactive, solutions-oriented, and outcome focused approach.
- The ability to remain composed and effective under pressure, and thrive in fast-paced, ambiguous environments.
- The skills to challenge the status quo to deliver innovative, fit-for-purpose solutions.
- A commitment to driving employee engagement and fostering a culture aligned with organisational values.
- Tech-Forward Mindset, Maintaining a high level of curiosity regarding AI and automation; comfortable experimenting with new technologies to solve traditional HR challenges and model digital agility for the organization.
How you’ll make an impact:
- Execute the HR roadmap for R&D, ensuring alignment with global and regional business priorities. Act as a trusted advisor to R&D managers on workforce planning, talent strategies, and employee engagement and well being.
- Partner with business leaders on organisational assessment and design initiatives to support growth and operational excellence.
- Oversee generalist HR activities for R&D including performance management, total rewards, succession planning, and talent development.
- Analyse people data and provide actionable insights to managers to support informed decision-making and drive business outcomes.
- Champion a culture aligned with Taboola’s values, fostering an environment where employees are highly engaged and motivated.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-SRM1
#LI-Hybrid
Ready to apply?
Apply to Taboola
Join Apiiro — Design, develop, and deliver secure software faster
Apiiro is a fast-growing startup at the forefront of the application security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.
About the Team
Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.
What You Will Do
- Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
- Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
- Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
- Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring
What You’re About
- B.Sc. in Computer Science, Mathematics, or similar.
- 4+ years of hands-on experience in applied data science or machine learning roles.
- Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
- Proficient in writing clean, maintainable, and efficient Python code.
- Optional (preferred):
- Experience with additional languages such as Java or C#.
- M.Sc. in Computer Science, Mathematics, or similar.
- Independent, proactive, and agile.
- Skilled at problem-solving and creative solution-finding.
- Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
- Innovative and committed to continuous learning and staying up-to-date with the latest technologies.
What We Stand For at Apiiro
OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.
Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”
Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact.
Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.
These values keep us motivated to deliver the best for our customers and each other, every single day.
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If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!
Ready to apply?
Apply to Apiiro
Data Scientist
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
Data Scientist position
We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through Cato’s SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more.
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
- Lead the design, development, and deployment of AI/ML models that enhance Cato’s security and networking products
- Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
- Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources
- Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions
- Define and track success metrics to ensure AI solutions meet performance and business goals
Qualifications
- Minimum 3 years of professional experience in Data Science roles
- Hands-on experience in networking and/or cybersecurity domains
- Proven experience building and deploying LLM-based applications and agents (e.g., RAG pipelines, tool-use agents, prompt engineering at scale)
- Strong foundation in classical machine learning methods (supervised, unsupervised learning, clustering)
- Practical experience with deep learning frameworks such as TensorFlow or PyTorch, including NLP techniques
- Proven experience deploying models on cloud platforms like AWS, Azure, or Google Cloud
- Excellent analytical, problem-solving, and communication skills
- Self-motivated, collaborative, and able to work independently
How to Stand Out
- Experience with real-time or low-latency AI inference in production environments.
- Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field
Ready to apply?
Apply to Cato Networks
Senior Data Science Engineer
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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Job Description
Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.
Basic Qualifications
- Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
- Advanced degrees in data science or Machine learning / AI - Advance.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
- Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
- Strong analytical and critical-thinking skills to identify patterns and outliers.
- Customer-obsession, Think and act with the customer in mind!
- Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
- Entrepreneurial, open-minded behavior and can-do attitude.
Required Experience
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
- Proven ability to manage multiple tasks and meet deadlines.
Preferred Experience
- Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
- Master’s degree in a relevant field.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Knowledge of engineering design tools and processes.
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Ready to apply?
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About Pagaya
Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.
About the Role
We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
- Spearhead strategic research of new cutting edge Machine Learning models
- Mentor and advise data scientists.
- Design solutions for the company’s core mission using Data Science methodologies from various domains
- Work in a short life-cycle research and development environment
- Generate and test working hypotheses in unexplored territory
Requirements
- 5+ years of experience in Machine Learning, working with tabular data on predictive modeling
- Track record of translating research into business impact
- MSc or PhD in a related field- Math/EE/CS/Physics/Stats
- Great interpersonal skills, and strong collaborator
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Proficient in Python and the Data Science Stack
- Independent and fast learner that can work alone and in teams
- Ability to learn and explore new fields of expertise
- Knowledge in some of the following can be an advantage: optimization, risk and finance
Our Team
Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.
We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.
Join a team of builders who are working every day to enable better outcomes for our partners and their customers.
Our Values
Our values are at the heart of everything we do. We believe great solutions are built through a great community.
- Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
- Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
- Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
- Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
- Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.
More than just a job
We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.
Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.
Ready to apply?
Apply to Pagaya Israel
Applied Data Scientist
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What Do We Do?
Triple Whale is the complete intelligence platform for ecommerce, helping brands stop guessing and start knowing what’s actually driving growth, what’s wasting money, and what to do next — with total confidence. By pulling all of a company’s data into one place, delivering measurement tools teams can actually trust, and applying the smartest AI in the industry, Triple Whale turns fragmented data into clear insights and actionable recommendations. That intelligence can then be put to work through AI agents and automations that generate creative assets, take action across marketing channels, and make every tool in their stack smarter and more effective.
More than 60,000 ecommerce brands including Pressed Juicery, OUAI, and True Classic trust Triple Whale to grow faster and drive revenue with fewer resources by uncovering opportunities and acting on them at a scale that would be impossible manually.
Why Triple Whale Needs You:
We’ve reached a strong product–market fit and are scaling rapidly — which means marketing measurement, experimentation, and optimization are becoming more complex and more critical than ever. As privacy changes, fragmented signals, and multi‑channel marketing continue to evolve, brands need sophisticated, production‑grade marketing science they can actually trust.
We’re looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.
What You’ll Do:
- Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
- Develop and deploy statistical and machine learning models to production
- Create scalable data pipelines and APIs that serve real-time analytics
- Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
- Own features end to end from statistical design and validation through deployment, monitoring, and iteration.
What You’ll Bring:
- 4–7 years of experience in applied data science
- Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
- Strong Python skills (pandas, scikit-learn, statistical libraries)
- Experience deploying models to production (not just notebooks)
- Solid statistics and machine learning fundamentals
- SQL and database experience
- Experience in building APIs or backend services
- Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
- Strong English communication skills with technical and non-technical audiences
- Self-starter comfortable with ambiguity and autonomy
Bonus Points If You Bring:
- Marketing analytics background (attribution, experimentation, measurement)
- Bayesian statistics or causal inference experience
- Cloud platform knowledge (GCP, AWS, or Azure)
- Time series analysis and forecasting
Why You’ll Love This Role:
This role offers true end‑to‑end ownership from statistical design to production deployment and real customer impact. It’s not pure modeling and not pure engineering, but a blend of both, focused on solving real marketing problems at scale. You’ll work on high‑impact systems that directly shape how businesses understand performance and invest their budgets, all within a fast‑moving, product‑driven environment where your work ships quickly and matters immediately.
Our Values
- We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
- We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage.
- We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together.
- We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
- We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.
Join Us in Making Waves
If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.
Ready to apply?
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Data Scientist, Clinical Data Science (CDS) R&D Team
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About QuantHealth
QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. Our platform combines large-scale biomedical knowledge, clinical trial data, and patient-level data to help customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.
About the Role
As a Data Scientist in the CDS R&D team, you will play a key role in researching, developing, and productionizing advanced data science solutions that power QuantHealth’s clinical simulation and prediction capabilities.
This role is designed for a strong applied data scientist who enjoys solving complex, ambiguous problems end-to-end: from data exploration and feature engineering, through model development and validation, to building scalable pipelines and AI-driven workflows. You will work closely with clinical experts, product, delivery, engineering, and other data science teams to translate challenging clinical and biomedical questions into robust data-driven solutions.
The ideal candidate brings several years of hands-on experience in applied data science, machine learning, and data pipeline development. Additional qualities we look at in candidates are scientific thinking, project ownership, and the ability to independently learn and operate in complex domains. Experience with biomedical or clinical data is a strong advantage.
This position involves working with a modern Python-based data science stack, building predictive models, developing data and ML pipelines, and contributing to the continuous improvement of QuantHealth’s clinical trial simulation product. The role requires curiosity, strong self-learning abilities, research orientation, and rigorous analytical thinking.
Responsibilities
- Design, develop, and validate data science models, algorithms, and tools that support QuantHealth’s internal and customer-facing clinical simulation products.
- Build end-to-end data science solutions, including data ingestion, feature engineering, model development, evaluation, and deployment-ready pipelines.
- Collaborate with clinical, product, delivery, engineering, and data science teams to prototype and implement data-driven solutions.
- Explore, process, and integrate diverse data sources, including clinical trial data, EHR/RWD, biomedical literature, biomedical ontologies, and knowledge graphs.
- Develop scalable ETL and data pipelines to support automated clinical simulation workflows.
- Build LLM-based and agentic systems to automate internal research, data processing, and biomedical reasoning workflows.
- Develop and improve data projects using tools such as PySpark, PyTorch, PyGeometric, MLflow, SQL, and the broader Python data stack.
- Stay current with emerging methodologies in machine learning, LLMs, knowledge graphs, biomedical AI, and applied data science.
- Contribute to internal knowledge sharing, best practices, and scientific discussions within the R&D organization.
Qualifications
- MSc or PhD in data science, computer science, computational biology, or a related quantitative field.
- 4+ years of hands-on experience in applied data science, machine learning, or algorithm development.
- Strong Python skills and practical experience with common data science and ML libraries such as pandas, NumPy, scikit-learn, PyTorch, SQL, and Spark.
- Proven experience building end-to-end data science solutions, from raw data processing to model development, evaluation, and implementation.
- Experience working with large, messy, real-world datasets and transforming them into reliable analytical or machine learning pipelines.
- Strong understanding of machine learning concepts, model evaluation, statistical analysis, and experimental design.
- Experience with cloud-based computing environments and scalable data processing pipelines.
- Strong analytical and problem-solving skills, with attention to details and scientific rigor.
- Strong research mindset and ability to independently learn new domains, methods, and technologies.
- Excellent communication skills and ability to collaborate effectively across clinical, product, engineering, and data science teams.
Strong Advantages
- Experience working with biomedical, healthcare (RWD/EHR), pharmaceutical, biomedical ontologies, or real-world patient data.
- Experience developing LLM-based workflows or agentic pipelines.
- Experience with knowledge graphs, graph embeddings, GNNs, or graph-based ML.
- Experience with PySpark, PyTorch, PyGeometric, MLflow, or similar ML engineering tools.
- Experience creating interactive data applications, dashboards, or internal tools.
- Familiarity with clinical trial design, drug development, computational/system biology, or translational medicine.
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Senior Data Scientist (Platform Development)
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About QuantHealth
QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies.
Our platform helps customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.
About the Role
We are looking for a Senior Data Scientist to lead the development of QuantHealth’s internal platform for streamlining, automating, and standardizing key customer delivery workflows.
This is a hybrid role at the intersection of data science, software engineering, ML systems, and internal product development. The ideal candidate is a strong builder who can take ownership of complex workflows, understand complex real-world data and modeling processes, and turn them into reliable, reusable, scalable systems.
The internal platform will serve as a central layer for improving how customer delivery work is planned, executed, automated, and reused across projects. It will bring together key workflows, automatic agentic systems, data assets, computational processes, reusable components, and quality-control mechanisms into a more integrated and scalable operating model. The goal is to reduce manual effort, improve consistency, shorten delivery timelines, increase transparency, and create reusable institutional knowledge across projects. This role requires someone who is comfortable moving between data science, architecture, software development, data pipelines, AI-driven automation, and internal applications. It also requires collaboration with delivery, clinical, engineering, and data science teams. It is a senior individual contributor role with high ownership and broad impact.
Responsibilities
- Lead the design and development of a set of internal tools that streamline, automate, and scale the company's delivery workflows and model development lifecycle.
- Build data-science-driven systems that combine data pipelines, AI-driven automation, analytical workflows, and internal applications.
- Develop LLM-based and agentic workflows to automate complex operational and analytical processes.
- Implement validation, monitoring, and quality control mechanisms to improve reliability, reproducibility, and trust in delivery outputs.
- Design solutions that support versioning, traceability, access control, and reuse of data and analytical assets.
- Collaborate closely with delivery, clinical, data science, product, and engineering teams to translate operational challenges into scalable technical solutions.
- Own key technical design decisions and contribute to the long-term direction of the internal delivery platform.
- Improve the reliability and maintainability of existing internal tools, workflows, and automation processes.
- Create clear documentation, standards, and best practices for using and extending the system.
- Act as a senior technical contributor, providing guidance and mentorship to junior team members on data science workflows, automation design, code quality, and systems-building best practices.
Qualifications
- MSc or PhD in computer science, data science, computational biology, or a related quantitative/technical field.
- 6+ years of hands-on experience in applied data science, machine learning, data engineering, or a hybrid data science / systems-building role.
- Strong experience developing complex data science solutions, including data pipelines, automation workflows, model evaluation, and production-oriented implementation.
- Strong Python skills, with the ability to write clean, modular, reliable code for data science and automation workflows.
- Experience working with large, complex, real-world datasets and turning them into reliable data products, pipelines, or analytical workflows.
- Experience integrating data, models, APIs, or internal tools into practical end-to-end solutions.
- Experience with cloud environments, containerization, CI/CD, and production deployment workflows.
- Experience building user-facing automation tools or internal applications that collect user input, guide workflows, and translate user needs into reliable automated processes.
- Strong understanding of machine learning concepts, model evaluation, analytical validation, and experimental design.
- Ability to work with ambiguous requirements, break down complex operational and analytical workflows, and translate them into practical technical solutions.
- Strong product sense for internal tools: ability to understand users, simplify workflows, and build solutions that people actually use.
- Strong analytical and problem-solving skills, with attention to detail, reliability, and reproducibility.
- Excellent communication skills and ability to collaborate across data science, engineering, clinical, product, and delivery teams.
Strong Advantages
- Experience leading the development of internal platforms, workflow automation systems, data products, or operational tools for technical teams.
- Experience building LLM-based and agentic applications, retrieval systems, or automated reasoning workflows.
- Experience with access control, identity management, audit logs, data lineage, or regulated-data environments.
- Experience working with healthcare, clinical, biomedical, pharma, or real-world patient data.
- Experience working in a startup environment where ownership, speed, and pragmatic engineering are critical
Ready to apply?
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Data Scientist
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Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.
We help our customers succeed in today’s digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.
In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!
We’re looking for a Data Scientist to join our R&D department!
Why is this role so important at Similarweb?
Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in Similarweb, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
Your daily responsibilities may include:
- Working on versatile use cases within a dynamic, fast paced production environment
- Strategic thinking and problem solving, with a strong business sense
- Analyzing data from various sources, and turning it into usable input
- Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
- Initiating newly defined tasks from exploration to proof of concept
- Owning the finalization of defined tasks (from POC to deployment in production)
- Collaborating with data engineers to make sure we reach the desired production results
- Owning the ongoing validation process for existing metrics
- Collaborating and brainstorming best practices with other teams within the R&D department
- Deploying machine-learning models into production for an ongoing use
This is the perfect job for someone who:
- Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
- Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
- Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
- Has previous experience developing machine learning/ image processing/NLP or similar algorithms
- Demonstrated experience utilizing probability theory and statistics
- Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
- Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)
Why you’ll love being a Similarwebber:
You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.
We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.
You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.
Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
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Senior Data Scientist
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The opportunity
SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.
As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.
What you'll be doing
- Design and implement end-to-end solutions - from business needs all the way to live deployment
- Monitor and own models in production
- Model, design, and implement machine learning and data mining algorithms
- Perform deep data analysis to evaluate performance and recommend improvements
- Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions
What we're looking for
- At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
- At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
- B.Sc in Computer Science, Statistics, Operations Research or equivalent
- Solid background with data lake and data warehouse technologies
- Great communication skills, Hands-On, independent and out of the box thinker
You might also have
- Experience in the Mobile gaming and advertising industries
- Proven experience with Airflow development
- Experience with big data technologies such as Spark, Trino, SingleStore DB
- Experience with Cloud Computing
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
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Software Engineer- Data Platform
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About Pagaya
Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.
About the Role
The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Develop data architecture for data ingestion, validation, and processing.
- Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
- Create and maintain optimal data pipeline architecture using microservices.
- Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
- Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
- Be around very bright and lovely people.
- Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
- Provide education and documentation to empower team members to make the most of technical resources.
- Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
- Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
- Collaborate on data infrastructure that supports LLM-driven workflows — leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.
Requirements
- 5+ years of experience as a Software Engineer using Python.
- Experience with microservices and K8s.
- Experience in ELT/ETL processes and SQL, with strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
- Building and designing complex applications.
- Willingness to get your hands dirty, understand a new problem deeply, and build things from scratch when they don't already exist.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields from reputable academic institutions.
Our Team
Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.
We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.
Join a team of builders who are working every day to enable better outcomes for our partners and their customers.
Our Values
Our values are at the heart of everything we do. We believe great solutions are built through a great community.
- Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
- Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
- Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
- Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
- Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.
More than just a job
We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.
Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.
Ready to apply?
Apply to Pagaya IsraelValidation Data Scientist
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About Pagaya
Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.
About the Role
Pagaya is seeking an experienced data scientist to join our Model Validation team. The ideal candidate will bring a blend of data science knowledge and analytical skills, understanding in Finance and an understanding of the regulatory landscape of credit lending. As a core team member, you will work closely with model developers to assess model performance, data quality, conceptual soundness, and produce thorough, compliant documentation for regulatory review, ensuring our models meet the highest standards. You will be required to challenge the models, helping Pagaya deliver high-quality validated models for loan pricing and underwriting.
Key Responsibilities:
- Conduct thorough validation of ML models to assess performance, data quality, robustness, conceptual soundness, regulatory requirements and more
- Conduct independent tests to assess performance and limitations, and establish model assumptions
- Suggest and develop alternative models to challenge and improve existing models
- Provide insights into the' strengths and weaknesses of models in terms of Data Science methodology and Finance as well as recommend practical solutions.
- Prepare comprehensive validation documentation
- Support the ongoing monitoring and improvement of existing predictive models
- Stay updated on the latest research in ML credit risk modeling and financial news, ensuring that our practices align with industry standards
Required Qualifications:
- 3+ years of experience in Data Science roles with experience with ML models- Must
- Work experience in a financial company
- Python - experience with data science packages (pandas, numpy, sklearn, seaborn)
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
- Excellent problem-solving skills with the ability to think critically and creatively
- Strong communication skills and the ability to work effectively in a collaborative team environment
- Fluent in English, both verbal and written
Preferred Qualifications:
- Masters degree
- Experience in Finance, specifically with financial data or models - advantage
- Experience with cloud platforms (e.g., AWS) and distributed computing
- Familiarity with regulatory compliance requirements for financial models (e.g., SR 11-7)
Our Team
Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.
We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.
Join a team of builders who are working every day to enable better outcomes for our partners and their customers.
Our Values
Our values are at the heart of everything we do. We believe great solutions are built through a great community.
- Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
- Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
- Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
- Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
- Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.
More than just a job
We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.
Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.
Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.
Ready to apply?
Apply to Pagaya Israel
Senior Data Scientist
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The opportunity
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impact
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing
- Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
- What Success Looks Like:
- Short-term: Ship your first production model with measurable impact within 3 months.
- Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
- Your Impact:
- Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
- What You'll Gain:
- Work on real-time ML systems at scale with rich, diverse data
- Autonomy to define problems and drive projects from idea to impact
- Freedom to explore emerging techniques and expand your scope
- Fast feedback loops through strong experimentation infrastructure
What we're looking for
- Strong Deep Learning Expertise – Comprehensive knowledge of DL theory paired with the practical intuition gained from training many networks; comfortable working with SOTA pretrained models while understanding the underlying mechanics of convergence and scale.
- Proven ability to deliver production ML models with measurable business impact - from problem definition through A/B testing -> deployment and outcome tracking
- AI-Native Builder Mentality – Comfortable breaking conventional development cycles to build fast and ship often. You have a deep mastery of the modern GenAI stack for development, using it to automate the mundane and focus your cognitive load on high-level architecture and model performance.
- Strong programming skills in Python and Deep Learning stack (PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
- Self-directed research capability - demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
- Structured problem-solving methodology - ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders
You might also have
- Positivity and enthusiasm
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN
Ready to apply?
Apply to Unity Technologies
Senior Software Engineer - Python and Data Ecosystem
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About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
What you'll do
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
About you
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Eligible locations:
- USA
- Canada
- UK
- Portugal
- Spain
- France
- Italy
- Germany
- Netherlands
- Poland
- Czech republic
- Israel
- UAE
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Senior Software Engineer - Python and Data Ecosystem
Share this job
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
What you'll do
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
About you
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Eligible locations:
- USA
- Canada
- UK
- Portugal
- Spain
- France
- Italy
- Germany
- Netherlands
- Poland
- Czech republic
- Israel
- UAE
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Senior Software Engineer - Python and Data Ecosystem
Share this job
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
What you'll do
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
About you
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Eligible locations:
- USA
- Canada
- UK
- Portugal
- Spain
- France
- Italy
- Germany
- Netherlands
- Poland
- Czech republic
- Israel
- UAE
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Senior Software Engineer - Python and Data Ecosystem
Share this job
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
What you'll do
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
About you
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Senior Software Engineer - Python and Data Ecosystem
Share this job
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
What you'll do
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
About you
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
AI Security - Senior Data Scientist
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI.
Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together.
We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You won’t be working on isolated experiments. You’ll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What you’ll do
- End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
- Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
- Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
- Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.
- 5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior.
- Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models.
- Strong proficiency in Python and modern DL frameworks (PyTorch, HuggingFace, etc.).
- Experience designing experiments, defining metrics, and analyzing model failures.
- A strong drive to solve complex AI security challenges, with both curiosity and pragmatism.
- Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact.
- Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.
Ready to apply?
Apply to Cato Networks
Senior Data Scientist
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Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.
Armis is a privately held company headquartered in California.
The Data Science role at Armis is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.
We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.
We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and Armis family. A data scientist that understands and loves data, and lots of it.
What you will do...
- Solve Applied Product Challenges: Deep-dive into the Armis product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
- Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
- Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data—such as CVEs, threat intel feeds, and security advisories—to automate the mapping of vulnerabilities to specific business contexts.
- Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
- End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
- Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.
What we expect...
- Academic Background: M.Sc./PhD in Computer Science, Statistics, Engineering, or a related field (or equivalent high-level professional experience).
- Industry Experience: 6+ years in Data Science, with a heavy focus on NLP and solving complex, real-world problems using ML/Deep Learning.
- Technical Mastery: Hands-on experience with PyTorch, Hugging Face, scikit-learn, and SQL. Familiarity with processing large-scale datasets (PySpark, or similar) is highly valued.
- Domain Awareness: Proven ability to apply statistical modeling to cybersecurity, risk management, or complex system analysis. Experience with Vulnerability Management or Graph Theory is a significant plus.
- Product and collaborative Driven Mindset: You are obsessed with understanding the "Why" behind the data. You enjoy learning the nuances of the product and the cybersecurity domain to ensure your DS solutions are highly applicable.
Curiosity & Grit: A passion for diving into "messy" data and finding the signal within the noise of the modern attack surface.
The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.
Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.
Ready to apply?
Apply to Armis Security
Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re actively looking for a hands-on Senior Data Scientist to focus on building ML models for scalable consumer-based services (or non-consumer services that require highly scalable ML models for predictions and classifications).
As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both our Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business. You will analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of our current models. You will collaborate closely with cross-functional teams to translate insights into actionable solutions. This is a hands-on position where you will apply your expertise in statistical modeling, machine learning, and data mining techniques.
This role is ideally based in Israel, but strong candidates from the U.S. will also be considered.
Our Mission:
Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.
We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here.
What you will do:
- Data Analysis and Exploration: You will need to explore and analyze large volumes of data to gain insights and identify patterns relevant to your modeling objectives. This involves data cleaning, preprocessing, and transforming data into a suitable format for modeling
- Model Development: You will design and develop models using statistical and machine-learning techniques. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation
- Data Preparation: You will be responsible for preparing the data required for modeling, including gathering and integrating data from various sources, ensuring data quality and consistency, and defining appropriate features and variables
- Model Evaluation and Testing: You will assess the performance and accuracy of the models using appropriate evaluation metrics. This includes conducting experiments, cross-validation, and measuring the effectiveness of recommendations
- Optimization and Tuning: You will fine-tune models to optimize their performance, improve accuracy, reduce bias or overfitting, and enhance the efficiency of the algorithms. provide actionable recommendations
- Analyze large datasets to identify patterns, trends, and insights that can be leveraged to improve business performance
- Design, build and evaluate systems to personalize consumer experience and drive customer engagement
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
- Conduct rigorous testing and validation of models to ensure their accuracy, robustness, and reliability
- Monitor model performance, identify areas of improvement, and continuously refine models based on new data and evolving business needs
- Stay up-to-date with the latest advancements in data science, machine learning, and recommendation system technologies, and apply them to solve business challenges
What You Need:
- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Economics, Physics, or a related discipline
- 5+ years of experience working in a professional setting deploying models
- Strong experience in building and deploying into production predictive models and recommendation systems using statistical modeling, machine learning, and data mining techniques
- Proficiency in Machine Learning: You should have a deep experience with various machine learning techniques, such as regression, classification, clustering, dimensionality reduction, and ensemble methods. Familiarity with popular algorithms like decision trees, random forests, Boosted trees, and regularized regression.
- Experience with match-propensity models, embeddings based models, cold-start handling, calibration/post-processing, integrating models into ad-tech workflows and business logic, measuring model performance within ad-tech systems.
- Strong Background in Statistics and Mathematics: A solid foundation in statistical concepts, linear algebra, calculus, and probability theory is essential for understanding the principles behind machine learning algorithms and recommendation systems
- Proficiency in programming languages such as Python or R, along with experience in data manipulation and analysis using libraries like NumPy, Pandas, or SciPy
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
- Experience in ad-tech is a must, media/advertising platforms, demand-side platforms and supply-side platforms in digital advertising or retail-media networks
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
- Problem-solving skills and the ability to think critically to develop innovative solutions
- Excellent communication and collaboration skills to effectively work with cross-functional teams and present complex findings
What you get:
- Competitive compensation, flexible remote work
- Unlimited Responsible PTO
- Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success
Ready to apply?
Apply to Nift
Senior Scientist
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We are seeking a Senior Scientist to join the MyHeritage Science Team, an innovative research team that works with one of the largest DNA datasets in the world. In this critical role, you will build new features and algorithms and improve existing ones, including ethnicity estimation, relationship inference, and prediction of phenotypic traits. This work directly impacts millions of users by providing them with accurate information on their ancestry and family connections.
This unique position offers an exciting blend of academic rigor and industry application, focused on the science behind MyHeritage DNA products. You will apply state-of-the-art science and cutting-edge methods to analyze millions of DNA samples and family trees. Your efforts will help users worldwide discover their heritage and connect with family through science.
What you’ll do
- Work with a huge volume of genetic and genealogical data, which includes the genomes of over 8 million people around the world and billions of genealogical records.
- Develop and expand the company’s DNA analysis toolset, combining bioinformatics, population and statistical genetics, and machine learning, and testing new ideas stemming from both the product perspective and the scientific literature.
- Take ownership of end-to-end development of state-of-the-art DNA products, from conception through research, development and engineering, all the way to mature products released to millions of people worldwide.
- Work closely with engineering, product, and data teams to translate research outcomes into user-facing features and tools.
- Clearly communicate scientific concepts and progress internally and externally.
- Work with bright DNA researchers in a vibrant intellectual environment.
What you bring
- Advanced degree (ideally Ph.D.) in Genetics, Computational Biology, Bioinformatics, or a related quantitative field; and 2+ years of relevant experience in industry or postdoctoral studies.
- Strong background in:
- Population genetics and/or statistical genetics.
- Analysis of genotyping or sequencing data.
- Genomic data pipelines and bioinformatics tools.
- Machine learning or statistical modeling applied to biological data.
- Interrogating and troubleshooting data.
- Strong programming skills in Python/R, using scientific and machine learning toolboxes.
- Hands-on expertise in large-scale parallel computing platforms (cloud computing (AWS), computer clusters, Spark, etc.).
- Proficiency in Python and familiarity with production-scale computational pipelines.
- Familiarity with tools such as Snakemake, Airflow, or other pipeline managers is an advantage.
- Experience with AWS is an advantage.
- Excellent written and verbal communication skills.
About MyHeritage
MyHeritage is the leading global platform for family history. It enriches the lives of people worldwide by enabling them to uncover more about themselves and where they belong. With a suite of intuitive products, billions of historical records, an affordable at-home DNA test, and AI-powered photo tools, MyHeritage creates a meaningful discovery experience that is deeply rewarding. The MyHeritage platform is enjoyed by tens of millions of people around the world who treasure and celebrate their heritage. MyHeritage offers full privacy controls and is available in 42 languages. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.
Benefits at MyHeritage
Our employees enjoy a range of benefits to enhance work-life balance and well-being:
- Hybrid work model
- Modern, beautiful offices in Or Yehuda and Tel Aviv with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
- On-site Gym and Pilates classes
- Dog-friendly office
- Well-stocked kitchens and a monthly meal allowance
- Fully funded supplemental health insurance
#LI-Hybrid
Ready to apply?
Apply to MyHeritage