Senior analytical and scientific leader for Fetch’s Play and Rewarded Apps portfolio, guiding product strategy through advanced analytics, experimentation, causal inference, and predictive modeling. Requires 8+ years of experience, strong Python and SQL skills, and the ability to influence senior stakeholders and mentor data scientists.

Leads data science for Support and Risk Operations by developing measurement systems, experiments, forecasts, and decision frameworks. Requires advanced SQL, strong statistical and product judgment, AI-assisted analytical workflows, and 6–8+ years with a graduate degree or 12+ years with a bachelor’s degree.

Owns data science and decisioning for onboarding fraud, identity, and KYC, developing predictive models, experiments, vendor evaluations, and monitoring systems. Requires 5+ years in data science or risk analytics, strong Python and SQL, and experience with adversarial classification problems.

Build and productionize machine learning models while developing LLM-powered, agentic analytics tools for business stakeholders. The role requires 5+ years of data science experience, strong Python and SQL skills, production ML expertise, and hands-on experience with LLM and agentic systems.

Develop and deploy machine learning models for real-time fraud detection and financial crime risk, while improving data quality, monitoring, and production reliability. Requires 5+ years working with large datasets, 3+ years of ML experience, and strong Python and SQL skills.

Staff Data Scientist focused on building and operating machine learning systems for real-time fraud detection and financial crime risk. The role requires 7+ years working with large datasets, strong Python and SQL skills, production ML experience, and technical leadership.

Develops and optimizes machine learning and statistical models for fraud prevention, analyzing large-scale data and communicating insights across technical and business teams. The role requires at least three years of data science or machine learning experience, with fraud or anti-money-laundering expertise preferred.

Leads the data science function responsible for sports and esports market origination, projection accuracy, and coverage strategy. Requires 5+ years in sports betting, fantasy, or gaming, strong modeling skills in SQL and Python or R, and experience scaling high-performing teams.

Leads predictive and causal modeling, experimentation, and measurement initiatives that drive personalization, retention, monetization, and product strategy. Requires 8+ years of data science or applied analytics experience, strong statistical expertise, SQL and Python proficiency, and experience with large-scale data systems.

Conducts hands-on mixed-method consumer research to test creative, concepts, messaging, and product experiences before launch. Requires 5+ years of market or advertising research experience, strong quantitative and qualitative skills, and the ability to turn findings into business and creative decisions.

Leads ads fraud measurement, detection, and automated enforcement for Reddit Safety, translating behavioral analysis into production pipelines, models, rules, and governance. Requires advanced quantitative education, substantial data science experience, and expertise in fraud evaluation, machine learning, Python, and SQL.

Own the credibility of a military simulation’s entity catalog by defining data standards, quantitative performance models, AI-assisted production workflows, and continuous validation. The role requires strong analytical judgment, documentation, organization, and the ability to defend modeling decisions to customers and subject-matter experts.

Build and operate biomedical retrieval, ranking, and concept-mapping systems that ground LLM applications for rare disease research. The role requires at least five years of production software or data-systems experience, including two years delivering LLM-powered applications, plus strong retrieval and Kubernetes skills.

Lead advanced analytics for host acquisition at Airbnb, driving data analysis, metric definition, experimentation, and strategic insights to support growth initiatives.

Conducts rigorous statistical validation of healthcare machine-learning models and translates results into clinically meaningful evidence. Requires 3+ years in biostatistics, applied statistics, epidemiology, or a related quantitative field, plus Python proficiency and experience with complex longitudinal data.

Leads the demand generation function for a B2B SaaS company, owning pipeline strategy, digital programs, events, ABM, lifecycle marketing, reporting, and a small team. Requires 8+ years of demand or growth marketing experience and strong cross-functional sales partnership.

Leads the strategy, measurement, and capability development for Firefox Marketing Data Science, covering attribution, campaign performance, budget optimization, customer insights, and scalable reporting. Requires 6+ years of marketing data science experience plus talent leadership and strong stakeholder communication.

The Applied Scientist develops causal machine learning models and rigorous experiments to optimize borrower acquisition across marketing channels. The role requires a master’s degree and experience with Python, statistical modeling, machine learning, causal inference, and experimental design.

Senior Data Scientist on Coinbase’s Consumer team, using experimentation, causal analysis, advanced modeling, and product analytics to improve consumer products. The role requires strong SQL and Python skills, statistical rigor, stakeholder influence, and at least five years of relevant experience or a PhD with three years.

Senior Data Scientist who will characterize conversational audio data, build active-learning and human-in-the-loop systems, and develop repeatable model-improvement pipelines. The role requires strong Python and data-pipeline experience, familiarity with speech or NLP models, and the ability to turn ambiguous data problems into measurable gains.

Staff Data Scientist driving search ranking and results improvements through machine learning, NLP, evaluation, and ranking-signal development. Requires 10+ years of data science experience, staff-level leadership, production ML deployment, Python, and advanced SQL skills.

Own product and operational analytics for a healthcare platform, defining core metrics, investigating user and workflow behavior, and translating findings into executive-level recommendations. The role requires at least 3 years of analytics experience, strong SQL and Python or R skills, and excellent communication.

Develops models, experimentation frameworks, causal analyses, and data products that improve Airbnb’s guest and host experiences, pricing, and marketplace growth. Requires 5+ years of experience with a bachelor’s or master’s degree, or 2+ years with a PhD, plus strong SQL and Python or R skills.

Provides scientific and strategic leadership for evidence generation across a breast cancer diagnostic portfolio, overseeing clinical and translational studies, external collaborations, publications, and cross-functional product development. Requires an advanced degree, at least five years of relevant experience, and deep expertise in breast cancer diagnostics.

The Data Scientist will analyze healthcare claims, billing patterns, and complex datasets to identify anomalies and support Trust & Safety, compliance, and legal operations. The role requires 5+ years of experience, expert SQL and Python/R skills, data visualization expertise, and strong risk-focused communication.

This senior data scientist will define measurement frameworks for AI-agent security, evaluate controls and security findings, and improve detection and response outcomes. The role requires 5+ years of quantitative experience, strong SQL and Python skills, and experience with cybersecurity or other adversarial-risk domains.

Leads a player-coach data science team and personally delivers product and business analyses, experiments, and strategic recommendations. Requires 10+ years of experience, people leadership, strong statistical and product analytics expertise, and proficiency in Python and/or SQL.

Own complex analyses, experimentation, statistical modeling, and KPI frameworks that guide product and business decisions. The role requires 5+ years of data science or applied analytics experience, strong SQL and Python skills, quantitative expertise, and the ability to influence cross-functional stakeholders.

The data scientist will lead causal inference, experimentation, statistical modeling, and machine-learning efforts to optimize payments, mitigate fraud, and guide product strategy. The role requires 5+ years of quantitative industry experience with a master’s degree, or 3+ years with a PhD.

Leads end-to-end quantitative research and user-centered metric development for Pinterest’s consumer experience, partnering closely with Data Science and Engineering. The role requires 7+ years of experience, expertise in survey methodology, experimentation, statistical modeling, and model evaluation, plus strong cross-functional and leadership communication skills.

Leads high-impact ads measurement, identity resolution, experimentation, and signal-quality initiatives, partnering across engineering, product, and sales. Requires an advanced quantitative degree, substantial applied data science experience, and expertise in statistical modeling, causal inference, experimentation, or identity systems.

Leads the scientific strategy for Reddit’s ads measurement, signal, identity, attribution, and privacy systems. The role requires deep expertise in experimentation and causal inference, 10+ years of quantitative industry experience, and the ability to influence senior cross-functional leaders while mentoring data science teams.

Leads experimentation methodology for Reddit’s Consumer organization, tackling causal inference challenges involving network effects, interference, and two-sided systems. The role requires deep statistical expertise, large-scale experimentation experience, and the ability to influence product strategy and mentor data scientists.

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 high-impact data science initiatives for advertising identity, measurement, experimentation, and signal quality. The role requires an advanced degree, extensive applied science or data science experience, strong statistical programming, and expertise in causal inference, experimentation, or predictive modeling.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.