Leads consumer product strategy through exploratory analysis, experimentation, metrics, and data-driven insights. The role requires an advanced quantitative degree, extensive applied science or data science experience, strong SQL and statistical skills, and the ability to influence stakeholders and mentor data scientists.

Leads quantitative analysis for product growth, focusing on user adoption, engagement, retention, experimentation, and enterprise account expansion. Partners with Product, Engineering, Design, and Marketing to define metrics, identify opportunities, and turn behavioral insights into measurable product decisions.

Analyzes proprietary private-market transaction and pricing data to identify valuation, liquidity, and investor trends, then translates findings into research publications and investor-facing thought leadership. Requires a bachelor's degree, strong quantitative skills, Excel and Python proficiency, and 3–7 years of relevant experience.

The Data Scientist will turn large-scale LLM usage data into routing improvements, analytics products, and user-facing features. The role requires 4+ years of data science, applied ML, or quantitative product experience, plus strong SQL, Python, statistical, and AI expertise.

Analytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.

Own demand generation and field marketing for selected US and Canadian territories, partnering closely with Sales and Energy Markets to generate pipeline, advance deals, and support program launches. The role requires end-to-end B2B campaign experience, strong communication, and proficiency with HubSpot and Salesforce.

Build and own quantitative risk models, stress testing, default-risk frameworks, and real-time monitoring for a regulated derivatives exchange. The role requires hands-on derivatives risk experience, strong Python skills, exchange-mechanics expertise, and working knowledge of CFTC requirements.

Leads product data science for Reddit’s Consumer area, using experimentation, causal analysis, metrics, and research to guide strategy and growth. The role requires an advanced quantitative degree, substantial industry experience, strong SQL and programming skills, and effective cross-functional communication.

The Senior Data Scientist will develop statistical and machine learning solutions that improve advertiser experience, campaign performance, and Reddit’s ads platform. The role requires an advanced quantitative degree, substantial applied data science experience, and expertise in experimentation, causal inference, large-scale data processing, and ML tooling.

The Senior Data Scientist develops statistical and machine learning models from insurance and cybersecurity datasets to improve underwriting, pricing, risk evaluation, and workflow automation. The role requires a quantitative bachelor's degree, 5+ years of insurance experience, advanced SQL, and Python or R expertise.

The Data Scientist partners across Product, Sales, and Engineering to analyze usage, improve business decisions, build data pipelines, and deliver actionable dashboards. The role requires 5+ years of data science or product analytics experience, strong SQL and Python skills, and experience with BI tools and cloud infrastructure.

Builds and owns fraud detection and financial-risk models end to end, from data acquisition and feature engineering through production deployment and monitoring. The role requires strong practical machine learning and statistics expertise, production coding experience, and either 4+ years with a relevant master’s degree or 2+ years with a relevant PhD.

Builds and deploys machine-learning models and statistical algorithms for scalable, user-facing observability features based on streaming data. The role requires experience with high-scale datasets, production pipelines, and communicating technical concepts clearly.

Leads forecasting initiatives by building interpretable, production-ready statistical and machine learning models for growth, revenue, compute, and profitability. Requires an advanced quantitative degree, 7+ years of applied data science experience, and strong expertise in time-series forecasting.

Own analytics for major institutional trading counterparties, analyzing order-level behavior, relationship economics, health, and platform-wide liquidity effects. The role requires 7+ years of relevant experience, expert SQL, strong market-structure knowledge, and the ability to support commercial partner reviews.

The role investigates coordinated abuse and financial risk across a prediction-market platform, develops detection rules and monitoring, and partners with product and compliance on controls. It requires 7+ years in risk or fraud analytics, expert SQL, strong investigative judgment, and experience balancing false positives against missed abuse.

Own product analytics for a consumer prediction-market platform, defining success metrics, designing experiments, and translating behavioral insights into product decisions. The role requires 7+ years of experience, expert SQL, strong experimentation expertise, and excellent product communication.

The role delivers data science projects spanning predictive modeling, experimentation, causal analysis, and AI-powered workflows to improve product, marketing, and partner outcomes. It requires 4–7+ years of quantitative experience, strong Python and SQL skills, and the ability to communicate insights across technical and business teams.

Leads company-wide measurement strategy, causal inference, experimentation governance, and strategic modeling for executive decisions. Requires 8+ years in data science or a quantitative discipline, advanced statistical expertise, and strong communication with senior stakeholders.

Leads search quality for AI-agent retrieval and human search experiences, optimizing hybrid retrieval, ranking, relevance metrics, and evaluation frameworks. The role requires expertise in information retrieval, embeddings, Elasticsearch or Lucene, and RAG.

Owns search quality across hybrid retrieval systems serving AI agents and human users. The role focuses on ranking, relevance evaluation, embeddings, and grounding RAG outputs across heterogeneous enterprise data.

Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.

Develops and ships data science models and financial insights that guide Finance and business decisions. The role requires 3+ years of industry experience, strong SQL and AI proficiency, and familiarity with financial metrics or B2B enterprise sales processes.

The Senior Data Scientist will build scalable product analytics assets, measurement frameworks, and AI-assisted analytical workflows while partnering with cross-functional teams to guide product and business decisions. The role requires 4+ years of applied data experience and strong SQL, programming, statistics, machine learning, and experimentation skills.

The Data Scientist will analyze large datasets, build and deploy machine learning models, conduct statistical testing, and communicate actionable insights. The role requires 4+ years of experience, strong Python and SQL skills, and a bachelor's or master's degree in a quantitative field.

Develops and evaluates production machine learning models for document verification, fraud detection, and biometric applications. The role requires 5+ years of experience, expert Python and SQL skills, and an advanced degree or equivalent experience.

Staff-level data scientist who will define product metrics, lead experimentation and causal analysis, mine complex datasets, and build data products for a B2B SaaS platform. The role requires 8+ years of quantitative experience, advanced SQL, Python or R, and ownership of dbt-based data pipelines.

Develops rigorous statistical and causal models powering Mixpanel’s AI-driven product insights, including forecasting, simulation, retention, and cohort detection. Requires 5+ years of applied statistical modeling experience, strong Python and SQL skills, and expertise in causal inference.

Build and deploy machine learning models that detect fraud and support identity verification and financial risk products. The role suits new PhD graduates or early-career researchers with strong quantitative foundations, Python experience, and interest in end-to-end production data science.

This senior data scientist supports EHR, revenue cycle management, product, and operations decisions through experimentation, predictive analytics, and financial and operational insight. The role requires 7+ years of analytics or data science experience, strong Python or SQL skills, and effective cross-functional partnership.

Leads autonomous intelligence research into cryptoasset-enabled terrorist financing, investigating actors, networks, wallets, and typologies. The role requires strong OSINT, blockchain analysis, analytical judgment, and communication skills, with the ability to apply AI, Python, or SQL to produce defensible intelligence for institutional and public-sector customers.

Senior Data Scientist on Airbnb's Trust team, owning inference, measurement, and experimentation to evaluate and improve defenses against fraud, manipulation, and bad actors. Requires deep expertise in causal inference, Bayesian modeling, and leading complex experiments to drive product and policy decisions.

The Data Scientist will build, deploy, and improve fraud detection and loss management models while using statistical analysis and experimentation to shape risk strategy. The role requires fraud or financial-crimes experience, strong SQL and Python or R skills, and experience delivering quantitative work cross-functionally.

Leads measurement, experimentation, and decision science for B2B demand generation, connecting marketing investments to qualified pipeline, revenue, and expansion. Requires 10+ years of quantitative experience, advanced causal inference expertise, and strong SQL, Python, and AI-tool fluency.

This role analyzes large healthcare datasets, designs scalable data models and pipelines, and develops analytics that support oncology care operations. It requires expertise in healthcare data, SQL-based transformations, claims analytics, and strong collaboration with technical and business stakeholders.

The Data Scientist will partner with Global Growth teams to design experiments and optimize Stripe’s self-serve onboarding funnel. The role requires substantial data science or quantitative modeling experience, strong SQL and programming skills, and expertise in experimentation, analytics, or related quantitative methods.

The Data Scientist partners with Local Payment Methods engineering and product teams to optimize the business and guide strategy through analytics, modeling, experimentation, and causal inference. The role requires quantitative modeling experience, SQL, Python or R, strong business judgment, and clear communication.

Leads distributed data science and analytics teams supporting risk workstreams while establishing data craft standards and culture in the Bengaluru office. The role requires 10+ years in data science or analytics, 3+ years managing data professionals, and strong SQL, programming, statistical modeling, and experimentation expertise.

Conducts customer-facing applied research to determine whether healthcare datasets can support AI model development and evaluation. The role combines ML/LLM method development, healthcare data analysis, feasibility studies, and collaboration with technical and data partnerships teams.

Own product-area metrics, funnels, experimentation, and behavioral analysis to identify opportunities and drive improvements in activation, engagement, and retention. The role partners directly with product and engineering while building trusted analytics infrastructure and proactive insight systems.

Owns pricing and packaging analytics, models unit economics and willingness to pay, and runs experiments that guide revenue and retention decisions. The role requires strong SQL, Python, applied statistics, experimentation, and cross-functional commercial judgment.

The first data scientist on Lovable’s London growth team will own the funnel from acquisition through expansion, identify high-leverage opportunities, and partner with growth engineering to ship experiments. The role requires strong SQL, Python, applied statistics, and autonomous experimentation skills.

Owns the measurement and improvement of Lovable’s AI agent by defining quality metrics, building evaluation and experimentation systems, and turning telemetry into product fixes. The role requires strong SQL, Python, statistics, experimentation, and interest in LLM evaluation and observability.

Leads production-grade forecasting and driver-based revenue modeling across product categories, translating product usage and business drivers into explainable financial outcomes. Requires 5+ years of experience with forecasting, causal or econometric modeling, Python, SQL, large-scale data systems, and executive-facing decision products.

The Product Data Scientist will analyze user behavior and A/B experiments to improve search quality, develop product metrics and dashboards, and build data-labeling pipelines. The role requires 4+ years of relevant experience, strong Python and SQL skills, and deep statistical knowledge.

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.

Leads high-impact predictive modeling initiatives using deep learning, large language models, and traditional data science methods. The role requires principal-level experience, strong Python and MLOps expertise, and the ability to translate complex modeling work into measurable business value.

Leads complex predictive modeling and analytical initiatives using deep learning, large language models, and traditional data science methods. The role requires 5+ years of experience with a bachelor’s degree or 3–5 years with an advanced degree, plus production MLOps and peer leadership experience.

Develop and deploy predictive AI models using deep learning, large language models, and traditional data science methods. The role requires strong Python skills, production MLOps experience, and a bachelor's degree with 3–5 years of experience or an advanced degree with less experience.

The Staff Data Scientist will shape measurement, experimentation, and product strategy for Pinterest Notifications while improving the machine-learning systems behind notification delivery and content. The role requires 8+ years of experience, strong statistical and product judgment, and the ability to influence cross-functional leadership.