Applies causal inference, experimentation, and causal machine learning to optimize AI-powered customer support, concession allocation, retention, and operational tradeoffs. Requires at least two years of relevant industry experience plus a master's degree in a quantitative field or a relevant PhD.

The Product Data Scientist owns analytics for digital product experiences, measures flavor-launch impact, and builds a constrained flavor recommendation engine. The role requires 2–4 years of experience, strong GA4 and experimentation expertise, SQL and Python/R proficiency, and effective stakeholder communication.

Leads end-to-end machine learning work across renter acquisition, marketplace optimization, ranking, personalization, and matching. The role requires 7+ years of production ML experience, strong Python and SQL skills, statistical expertise, and cross-functional technical leadership.

Leads quantitative analysis, experimentation, and machine-learning initiatives for Pinterest’s ads delivery systems. The role requires 10+ years of web-scale data experience, strong product intuition, cross-functional leadership, and expertise in causal inference, recommendation, and analytics.

Data Scientist on the fraud risk team building real-time monitoring, predictive ML models, and risk controls for payments and stablecoins. Requires 3+ years in automated fraud strategies, advanced SQL/Python, and quantitative degree.

Lead a team of data scientists and managers to shape data strategy and measurement for Figma's AI products including LLM-powered assistants. Partner with leadership across Product, Engineering, Design and Research to drive data-driven decisions, build frameworks, and measure impact.

Senior Cryptocurrency Intelligence Scientist leading complex on-chain research, threat characterisation, and intelligence collection to combat crypto-related financial crime. Requires deep blockchain expertise, data science skills (SQL/Python), AI fluency, intelligence analysis experience, and ability to obtain security clearance.

Build and own data science initiatives from discovery to production for logistics workflows including pricing, dispatch, routing, ETA prediction, and marketplace balancing. Requires 4+ years experience, strong Python/SQL skills, and the ability to translate ambiguous business problems into measurable ML-driven outcomes in a fast-paced startup.

Own and build Zocdoc's marketing measurement strategy and function, including MMM, MTA, incrementality testing, and causal inference. Hands-on leadership of complex models and a team of data scientists to drive B2C/B2B marketing investment decisions for patient acquisition and provider marketing.

Lead and grow a team of data scientists supporting Zocdoc's Provider Products. Drive product strategy, experimentation, measurement, and high-impact analytics for a two-sided healthcare marketplace while building team capabilities and partnering with leadership on key decisions.

Lead Data Scientist for SMB Ads Growth at OpenAI, architecting end-to-end analytics for targeting, funnel optimization, campaign measurement, and revenue forecasting. Requires 5+ years in ads/growth analytics, ML model deployment (propensity/LTV), strong SQL/Python/R, and experience in 0-to-1 environments.

Build measurement frameworks, benchmarks, and insights for OpenAI's ads demand health, advertiser performance, and marketplace strategy. Partner with Sales and Product leadership to drive growth, diagnose issues via causal methods and experimentation, and translate advertiser feedback into product priorities. Requires 7+ years in ads data science with strong SQL, Python/R, and cross-functional influence.

Data Scientist embedded in Polymarket's Markets team, modeling liquidity dynamics, auditing listings, analyzing market health, and building decision frameworks for prediction market design and liquidity incentives. Requires deep market structure knowledge, Python/SQL expertise, and end-to-end ownership of analyses that directly inform listings and rewards.

Senior Data Scientist leading measurement, modeling, evaluation, and experimentation for Traba's agentic AI platform in industrial supply chain operations. Own agent quality metrics, build statistical/ML models, design experiments proving causation, and deliver insights to leadership and operations teams. Requires 4+ years data science experience including 2+ years with LLMs/agents.

Lead a 6-10 person data science team for Duolingo's User Growth pillar. Own experimentation, forecasting, BI, and analytical strategy to drive acquisition, retention, and business decisions. Requires 5+ years managing data scientists, graduate degree, and expertise in ML, causal inference, and SQL/Python.

Own commercial data science end-to-end for Headway's GTM and payer business. Lead strategic analyses, forecasting, and causal inference for the Chief Commercial Officer and executive stakeholders while technically leading other data scientists.

Staff Data Scientist partnering with product, risk, finance, and operations teams to drive strategy through predictive insights, advanced experimentation, causal inference, and ML-based fraud interventions in a marketplace setting. Requires 7+ years data science experience, strong SQL/Python skills, and expertise in statistical modeling and risk models.

Lead and grow a data science team to drive insights, experimentation, and predictive modeling that improve provider experience metrics and product engagement at Headway. Requires 8+ years data science experience including 3+ years managing teams, strong product and cross-functional partnership skills, and technical fluency in SQL, Python/R, and causal inference.

GTM Data Scientist building predictive churn, look-alike, and marketing mix models to measure campaign impact, identify expansion opportunities, and drive data-informed decisions for Sales, Marketing, and RevOps at a rapidly growing beverage tech company.

Lead the Sales Analytics team at Gusto to rebuild data foundations, evolve forecasting with causal inference and advanced methods, drive revenue insights, and shift the team toward strategic statistical thinking in an AI-first environment. Requires 10+ years data science experience including 4+ years leading teams, deep Salesforce and SaaS revenue domain expertise, and hands-on technical skills.

Build actuarial models (total-cost-of-care, PMPM, MLR) from claims data to quantify Sprinter Health's long-term economic impact on payers. Partner with health plan actuaries, support commercial pricing, and ensure rigorous causal measurement of in-home care interventions.

Staff Applied Data Scientist owning end-to-end pricing experimentation, modeling, and strategy for Coinbase's consumer and business products. Requires 8+ years in data science focused on causal inference and pricing, plus strong SQL/Python/R skills.

Senior Data Scientist building and deploying predictive ML models (classification, regression, anomaly detection, clustering) to understand customers, improve acquisition/retention, and drive growth at a fintech company. Requires 5+ years ML experience, Python/SQL expertise, and strong experimentation skills; Master's preferred.

Lead Mixpanel's Internal Analysis team of Analytics Engineers and Data Scientists. Own end-to-end data lifecycle on BigQuery, drive metrics-driven culture with KPIs and cross-functional partnerships, apply AI for insights and operations, and coach senior ICs in a B2B SaaS environment. Requires 3+ years people management and deep data stack fluency.

Data Scientist on the Analytics and Data Insights team building agentic analytics, AI impact measurement, customer-facing insights, small language models for data enrichment, experiments, and predictive models that drive product and GTM strategy at Cohere. Requires strong SQL/Python, production modeling experience, statistical expertise, and excitement about AI.

Data Scientist analyzing infrastructure usage, efficiency, and workloads to predict demand, optimize compute resources, and drive data-informed capacity planning and cost reduction decisions in collaboration with engineering and finance teams. Requires advanced degree plus 3-8+ years experience in data science with infrastructure/cloud focus, SQL, Python/R, and strong business acumen.

Staff Data Scientist owning pricing models and experiments for Square globally. Build elasticity/willingness-to-pay models, run causal experiments, develop AI-powered deal tooling, and monitor production AI systems while partnering with Finance, Risk, and Product teams.

Serve as the research expert for Anthropic's Recruiting organization on the People Data Solutions team. Design and execute studies on recruiting funnels, interview validation, psychometrics, and candidate experience to drive evidence-based hiring decisions using SQL, Python/R, and advanced analytics.

As a Data Scientist on the Core team at Pinterest, you will apply quantitative modeling, experimentation, and ML to shape people-facing and business-facing products. You will collaborate cross-functionally with Product, Engineering, Design and Research to drive insights and scientific rigor for products used by hundreds of millions of users.

Staff Product Data Scientist on Cash App's Lending team building, measuring, and improving credit products (Borrow, Afterpay, Square Loans). Partners with product/risk/engineering to define metrics, run experiments, analyze customer behavior using AI tools, and drive decisions for underserved customers.

Senior Pricing Data Scientist role combining quantitative analysis, customer research, and strategy to shape Fivetran's pricing, packaging, and monetization. Requires 5-8 years in SaaS/B2C pricing models, advanced degree in Economics/Statistics or similar, SQL/Python fluency, and experience with pricing experiments and surveys.

Quantitative Researcher responsible for analyzing execution data, developing market impact and trading cost models, and optimizing execution strategies across equities, futures and other asset classes to minimize transaction costs. Requires 3+ years in electronic execution at a quant trading firm, strong quantitative skills, and Python proficiency.

Data Scientist building measurement systems, risk models, and experiments to detect and mitigate AI-native abuse, fraud, and adversarial behavior on Replit's platform while minimizing impact on legitimate users. Requires 5+ years in data science or fraud/risk, strong SQL/Python, and experience with imperfect labels and high-stakes decisions.

Build production-grade forecasting, propensity, and LTV models that connect customer behavior and product usage to SaaS revenue outcomes. The role requires advanced Python and SQL, scalable data-pipeline experience, and the ability to communicate insights to finance and executive stakeholders.

Partners with product teams to use statistical analysis, data pipelines, and quantitative research to guide product strategy and measure outcomes. The role requires 5+ years of experience, strong SQL and Python skills, product intuition, and growing proficiency with AI-assisted workflows.

Build and deploy AI-powered internal tools and data products for go-to-market teams, from rapid prototyping through production. The role requires applied data science experience, strong SQL and Python or R skills, LLM application expertise, and the ability to measure business impact.

The Data Scientist partners with product teams to define metrics, analyze user and product data, run experiments, build pipelines and dashboards, and deliver insights that shape product strategy. The role requires 5+ years of experience, strong SQL and analytical skills, and proficiency in Python or R.

Staff Data Scientist defining company-wide standards for experiment design, causal inference, and statistical analysis to drive trustworthy product decisions in a fast-paced multi-product SaaS environment. Requires 9+ years experience with online experiments, strong applied statistics, and practical causal inference.

Clinical Informatics Specialist embedded in product team to generate, annotate, and evaluate clinical datasets for medication-focused AI models. Serves as pharmacy SME to ensure AI outputs align with real-world clinical practice, safety standards, and regulatory requirements while collaborating with engineers, data scientists, and PMs.

Build and ship real-time machine learning and AI products that structure financial transaction data, partnering with engineering and product from prototype through production. The role requires 3+ years of model development experience, with senior openings requiring 5+ years and mentoring experience.

Staff Data Scientist on Reddit's Ads team owning high-impact problems in measurement, identity resolution, and signal quality. Develop probabilistic models, advance lift/experimentation methodologies, quantify signal value for predictive models, and set technical direction while influencing cross-functional partners. Requires advanced degree, 6-10+ years experience, and deep ads ecosystem expertise.

Lead scientific strategy for Reddit's ads measurement, signals, identity, and privacy systems. Architect experimentation, causal inference, lift studies, and privacy-aware frameworks while influencing executives and mentoring senior data scientists. Requires 10+ years experience and advanced quantitative degree.

Lead technical development of production ML risk signals and features from high-scale device, network, browser, and behavioral telemetry to detect fraud and identity risk at Socure. Requires 12+ years experience, advanced degree, and expertise in adversarial domains, feature engineering, and model validation.

Develop ML features, models, and risk signals from device, network, browser, and behavioral telemetry to improve fraud detection and identity verification. Requires 5+ years in data science/applied ML, strong Python/SQL skills, and experience with noisy telemetry and production ML workflows.

Senior individual contributor on Anthropic's Finance Analytics team, owning measurement of AI model value, market position, benchmarks, pricing elasticity, and launch analytics to inform executive decisions on pricing, packaging, and strategy. Requires hands-on SQL/Python, shaping ambiguous problems, and executive storytelling.

Founding Data Scientist on OpenAI's Pricing team, building analytical foundations and models for pricing, packaging, and monetization strategy across consumer, SMB, and enterprise segments. Partner directly with CFO and senior leaders on high-impact analyses, experiments, causal inference, and executive recommendations in a zero-to-one role.

Quantitative Intelligence Analyst discovering novel risks in human-AI systems using quantitative models, data mining, and statistical analysis to develop early-warning signals for trust and safety threats. Requires 3+ years in quantitative intelligence, risk research or trust & safety, plus Python/SQL skills.

Help build and improve HappyRobot’s AI agent products by defining metrics, designing and interpreting A/B tests and experiments, analyzing conversations/workflows, and turning data into insights that guide Product and ML roadmaps. Requires 4+ years in data science or product analytics, strong SQL/Python, stats, and experimental design experience.

Data scientist owning analytics and experimentation for new user activation and habit formation in Suno's early-life journey. Requires 5-7+ years in consumer data science/product analytics, advanced SQL/Python/statistical modeling, and deep experimentation experience.

Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.