Founding product data scientist driving PLG and B2B growth strategy through experimentation, analytics, and opportunity sizing. Requires 5-8 years experience with 3+ years in growth, strong SQL/Python, and A/B testing expertise.
Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.
First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.
Lead a team of data scientists and analysts to own line setting strategy, projection models, and market origination for fantasy sports and esports props. Requires 5+ years in sports betting/fantasy, management experience, and strong technical skills in SQL/Python/R.
Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.
Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.
Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.
Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.
Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.
Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.
First Data Scientist on Plaid's Embedded Insights team building analytics and measurement frameworks for ML models. Partners with product, engineering, and ML teams to drive data-informed decisions and evaluate model performance.
Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.
Own feature engineering, model iteration, and A/B testing for an AI underwriting engine that influences rental decisions. Build production risk models and partner with Product and Engineering on high-stakes decisioning systems.
Senior Data Scientist building graph-based identity resolution systems for adtech. Requires 5+ years experience with large-scale data, Scala/Spark/SQL/Python, and graph algorithms.
Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.
Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.
Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.
Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.
Staff Data Scientist focused on product analytics, driving product strategy and optimization through data insights, A/B testing, ML, and analytics infrastructure for a SaaS platform.
Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.
First Data Scientist supporting Brand Marketing at Figma. Build measurement frameworks, attribution models, and ML solutions to evaluate brand investments and drive marketing strategy.
Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments for Lyft's Growth Products team. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and causal methods.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.
Staff Data Scientist driving ads product strategy and data-driven decision-making at Pinterest. Partners with product, engineering, and finance teams to translate business questions into analytical solutions and maintain data quality.
Growth Product Scientist partnering with PMs, engineers, and marketers to drive acquisition, activation, and retention through experimentation, causal analysis, and self-serve analytics tooling.
Lead and scale the Data Science function, partnering with Product, Growth, and other teams to drive acquisition, engagement, retention, and health outcomes through rigorous analytics and experimentation.
Own end-to-end data science: translate ambiguous business questions into reproducible analysis and lightweight internal systems while partnering with GTM, product, and finance leaders. Requires 5+ years in high-growth data science/analytics with strong Python and stakeholder communication skills.
Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.
Staff Data Scientist owning advanced ML modeling strategies for fraud detection across payment fraud, account takeover, and identity abuse. Requires 5+ years production modeling experience, deep fraud/security domain expertise, and mastery of tree-based, deep learning, and graph methods.
Postdoctoral researcher developing AI/NLP and knowledge engineering methods to transform biomedical literature into structured, evidence-grounded knowledge for organoid protocol standardization. Requires PhD and strong Python/NLP research experience.
Principal Data Scientist owning clinical data quality and building production ML/AI models for healthcare risk stratification and outcomes using claims, EHR, and ADT data. Requires 7+ years Python/ML experience and deep fluency with clinical terminologies and healthcare data standards.
Lead and hands-on manage a Product Data Science team focused on app experience, marketplace, and AI-native product features. Drive AI evaluation, agentic services, and mentor team on ML/LLM best practices.
Data Scientist focused on designing and implementing quantitative metrics to evaluate autonomous vehicle behavior using large-scale logs and simulation data.
Lead a PoC data science team delivering fraud-prevention ML models and client-facing proof-of-concept projects for enterprise financial institutions. Player-coach role combining people leadership, hands-on modeling, and direct client engagement.
Data Scientist focused on operationalizing, optimizing, and scaling production data science models and pipelines. Requires 3+ years production experience, strong Python skills, and expertise in AWS, data pipelines, and data warehouses.
Build and maintain quantitative models for insurance pricing, underwriting, forecasting, and investment portfolio management. Requires strong quantitative background and experience with statistical modeling and ML techniques.
As a Senior Data Scientist on the Trust team, you will protect the integrity of Linktree's platform by applying data science and statistical modeling expertise to measure harm, assess risk, and improve detection and mitigation systems. You will define core Trust metric frameworks and evaluate ML and LLM-based safety systems.
As a Data Scientist, you will lead the future of analytics at Ramp by developing data products and insights. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize and execute work, improve reporting, and drive results.
The Senior Data Scientist will design, build, and deploy scalable machine learning and AI solutions in production environments, focusing on NLP and transformer-based systems. This role involves owning the end-to-end ML lifecycle and partnering with Product, Engineering, and Analytics teams.
As a Data Scientist, Platform Product, you will drive data-informed decision-making for Anthropic's Developer Platform. You will define key metrics, conduct deep dives into product and usage data, and apply rigorous causal inference methods to evaluate platform changes and influence the product roadmap.
Apartment List is seeking a Lead Data Scientist to build, deploy, and improve machine learning models for their two-sided rental marketplace. This role involves end-to-end ownership of projects, from problem framing to production launch and measurement, focusing on demand- and supply-side modeling.
As a Data Scientist, you will shape the future of Pinterest's products by applying quantitative modeling, experimentation, and algorithms to complex engineering challenges. You will collaborate with cross-functional partners to bring scientific rigor to product development and deliver insights that influence product teams.
As a Senior Data Scientist, AI & Model Risk, you will lead and coordinate AI risk assessments for Generative AI and Large Language Model use cases. This role involves applying Model Risk Management principles to ensure safe, compliant, and responsible deployment, partnering with various stakeholders across Risk, Engineering, Legal, Compliance, and Information Security.
As a Senior Data Scientist II on the Core Delivery team, you will identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments, and leverage geospatial data and advanced analytical techniques to optimize delivery. You will also proactively identify high-risk delivery scenarios and develop solutions.
As an early member of the Safeguards Data Science and Analytics team, you will build and scale a data-driven culture, defining key metrics, analyzing user behavior, and influencing product strategy to deploy safe, frontier AI at scale.
Founding product data scientist driving PLG and B2B growth strategy through experimentation, analytics, and opportunity sizing. Requires 5-8 years experience with 3+ years in growth, strong SQL/Python, and A/B testing expertise.
Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.
First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.
Lead a team of data scientists and analysts to own line setting strategy, projection models, and market origination for fantasy sports and esports props. Requires 5+ years in sports betting/fantasy, management experience, and strong technical skills in SQL/Python/R.
Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.
Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.
Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.
Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.
Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.
Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.
First Data Scientist on Plaid's Embedded Insights team building analytics and measurement frameworks for ML models. Partners with product, engineering, and ML teams to drive data-informed decisions and evaluate model performance.
Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.
Own feature engineering, model iteration, and A/B testing for an AI underwriting engine that influences rental decisions. Build production risk models and partner with Product and Engineering on high-stakes decisioning systems.
Senior Data Scientist building graph-based identity resolution systems for adtech. Requires 5+ years experience with large-scale data, Scala/Spark/SQL/Python, and graph algorithms.
Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.
Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.
Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.
Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.
Staff Data Scientist focused on product analytics, driving product strategy and optimization through data insights, A/B testing, ML, and analytics infrastructure for a SaaS platform.
Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.
First Data Scientist supporting Brand Marketing at Figma. Build measurement frameworks, attribution models, and ML solutions to evaluate brand investments and drive marketing strategy.
Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments for Lyft's Growth Products team. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and causal methods.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.
Staff Data Scientist driving ads product strategy and data-driven decision-making at Pinterest. Partners with product, engineering, and finance teams to translate business questions into analytical solutions and maintain data quality.
Growth Product Scientist partnering with PMs, engineers, and marketers to drive acquisition, activation, and retention through experimentation, causal analysis, and self-serve analytics tooling.
Lead and scale the Data Science function, partnering with Product, Growth, and other teams to drive acquisition, engagement, retention, and health outcomes through rigorous analytics and experimentation.
Own end-to-end data science: translate ambiguous business questions into reproducible analysis and lightweight internal systems while partnering with GTM, product, and finance leaders. Requires 5+ years in high-growth data science/analytics with strong Python and stakeholder communication skills.
Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.
Staff Data Scientist owning advanced ML modeling strategies for fraud detection across payment fraud, account takeover, and identity abuse. Requires 5+ years production modeling experience, deep fraud/security domain expertise, and mastery of tree-based, deep learning, and graph methods.
Postdoctoral researcher developing AI/NLP and knowledge engineering methods to transform biomedical literature into structured, evidence-grounded knowledge for organoid protocol standardization. Requires PhD and strong Python/NLP research experience.
Principal Data Scientist owning clinical data quality and building production ML/AI models for healthcare risk stratification and outcomes using claims, EHR, and ADT data. Requires 7+ years Python/ML experience and deep fluency with clinical terminologies and healthcare data standards.
Lead and hands-on manage a Product Data Science team focused on app experience, marketplace, and AI-native product features. Drive AI evaluation, agentic services, and mentor team on ML/LLM best practices.
Data Scientist focused on designing and implementing quantitative metrics to evaluate autonomous vehicle behavior using large-scale logs and simulation data.
Lead a PoC data science team delivering fraud-prevention ML models and client-facing proof-of-concept projects for enterprise financial institutions. Player-coach role combining people leadership, hands-on modeling, and direct client engagement.
Data Scientist focused on operationalizing, optimizing, and scaling production data science models and pipelines. Requires 3+ years production experience, strong Python skills, and expertise in AWS, data pipelines, and data warehouses.
Build and maintain quantitative models for insurance pricing, underwriting, forecasting, and investment portfolio management. Requires strong quantitative background and experience with statistical modeling and ML techniques.
As a Senior Data Scientist on the Trust team, you will protect the integrity of Linktree's platform by applying data science and statistical modeling expertise to measure harm, assess risk, and improve detection and mitigation systems. You will define core Trust metric frameworks and evaluate ML and LLM-based safety systems.
As a Data Scientist, you will lead the future of analytics at Ramp by developing data products and insights. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize and execute work, improve reporting, and drive results.
The Senior Data Scientist will design, build, and deploy scalable machine learning and AI solutions in production environments, focusing on NLP and transformer-based systems. This role involves owning the end-to-end ML lifecycle and partnering with Product, Engineering, and Analytics teams.
As a Data Scientist, Platform Product, you will drive data-informed decision-making for Anthropic's Developer Platform. You will define key metrics, conduct deep dives into product and usage data, and apply rigorous causal inference methods to evaluate platform changes and influence the product roadmap.
Apartment List is seeking a Lead Data Scientist to build, deploy, and improve machine learning models for their two-sided rental marketplace. This role involves end-to-end ownership of projects, from problem framing to production launch and measurement, focusing on demand- and supply-side modeling.
As a Data Scientist, you will shape the future of Pinterest's products by applying quantitative modeling, experimentation, and algorithms to complex engineering challenges. You will collaborate with cross-functional partners to bring scientific rigor to product development and deliver insights that influence product teams.
As a Senior Data Scientist, AI & Model Risk, you will lead and coordinate AI risk assessments for Generative AI and Large Language Model use cases. This role involves applying Model Risk Management principles to ensure safe, compliant, and responsible deployment, partnering with various stakeholders across Risk, Engineering, Legal, Compliance, and Information Security.
As a Senior Data Scientist II on the Core Delivery team, you will identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments, and leverage geospatial data and advanced analytical techniques to optimize delivery. You will also proactively identify high-risk delivery scenarios and develop solutions.
As an early member of the Safeguards Data Science and Analytics team, you will build and scale a data-driven culture, defining key metrics, analyzing user behavior, and influencing product strategy to deploy safe, frontier AI at scale.