Senior data scientist who designs and delivers production AI solutions directly with customers, from architecture and modeling through deployment and adoption. Requires 8 years in advanced analytics and AI, strong Python and SQL experience, and customer-facing communication skills.

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.

Data Science Intern supporting product and engineering teams through statistical analysis, experimentation, analytical modeling, and data-driven recommendations. The role requires quantitative academic study or equivalent project experience, plus familiarity with Python and SQL.

Leads data science for growth and monetization, shaping pricing, packaging, conversion, retention, and new revenue models. Requires 6–8+ years in data science or product analytics, advanced SQL and Python, rigorous experimentation experience, and strong cross-functional influence.

Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems, translating military mission insights into design and product decisions. Requires 7+ years of experience, defense operational expertise, and proficiency with aerospace simulation tools and modern software workflows.

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.

Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems, translating military mission insights into design decisions and capability improvements. Requires 5+ years of operational analysis or military operations research experience and expertise in defense modeling tools and modern simulation workflows.

Conducts independent neuroscience experiments involving multi-electrode and electrophysiological recordings, analyzes data, prepares publication-ready materials, and mentors junior staff. Requires a related master's degree, three years of experience, Biology expertise, and strong data presentation skills.

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.

Staff Data Scientist leading product and content-data analysis, evaluation frameworks, metrics, and self-serve analytical foundations for content safety and taxonomy. The role requires deep product data science experience, strong statistics, SQL and Python proficiency, and cross-functional leadership.

Leads enterprise demand-generation strategy, ABM, target-account programs, and cross-channel campaigns to drive qualified pipeline. Requires 7+ years of B2B demand-generation experience, strong sales partnership, and the ability to own strategy, budget, and execution.

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.

Senior Data Scientist who will own growth forecasting, operating models, scenario analysis, and strategic planning for executive leadership. Requires 5+ years in business data science or analytics, advanced SQL, quantitative modeling, and experience with modern cloud data tools.

Senior data scientist leading marketing measurement, incrementality experiments, attribution, and growth modeling. The role partners with Growth leadership and requires 5+ years of relevant experience, advanced SQL, machine learning deployment, and modern cloud data-stack expertise.

Senior Data Scientist focused on product analytics, experimentation, predictive modeling, and advisor behavior insights for a dynamic travel marketplace. The role partners with Product, Engineering, and Design and requires 5+ years of relevant experience plus advanced SQL skills.

Data Scientist II developing graph-based algorithms, entity-resolution models, and large-scale data pipelines for identity and deceased-monitoring products. Requires advanced academic training or equivalent experience, strong Python/Scala and SQL skills, and hands-on Spark and AWS experience.

Leads client-facing healthcare research engagements using real-world data, advanced statistical methods, and AI-enabled workflows. Requires an advanced quantitative degree, at least five years of healthcare research or analytics experience, strong client advisory skills, and expertise in RWE/HEOR studies.

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.

Leads content-driven digital demand generation programs that create and accelerate B2B SaaS pipeline across PLG and SLG motions. Requires 7+ years of digital, content, or demand generation experience and strong sales partnership, campaign, automation, and attribution expertise.

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 rigorous advertising measurement for OpenAI Ads, partnering with advertisers, agencies, Sales, and technical teams on attribution, incrementality, MMM, optimization, and scalable privacy-forward measurement programs. Requires 10+ years of advertising measurement experience and hands-on SQL, Python, or R expertise.

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.

Own the datasets and evaluation workflows supporting AI safety, from collection and labeling through production model assessment. The role requires practical Python and SQL skills, strong dataset judgment, and cross-functional collaboration with policy, engineering, and research teams.

The Data Scientist will develop and productionize algorithms for routing, travel-time estimation, and traffic detection using geospatial, behavioral, and mobility data. The role requires 3+ years of production machine learning or data science experience and strong quantitative expertise.

Own Ramp’s AI-focused economic research and build a customer-facing economics function using large-scale business spend data. The role requires 5+ years as a data scientist or economist, strong SQL and BI expertise, rigorous writing, data visualization, and executive communication.

Analyzes large-scale datasets from AI model evaluations to uncover patterns, biases, and causal relationships. Designs experiments, builds pipelines with Python/Pandas/Spark, and collaborates with ML teams on metrics and insights. Requires 6+ years in data science/ML analytics.

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.

People Data Scientist focused on AI fairness and bias testing for People systems. Designs algorithmic audits, validation studies, and fairness infrastructure across the employee lifecycle. Requires deep expertise in fairness metrics, statistical modeling, and Python/R/SQL.

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.

Senior Data Scientist supporting user growth by embedding with product teams, guiding experimentation and data-informed decisions, and building analyses, dashboards, and scalable models. Requires strong quantitative communication, SQL, Python or R, machine learning, and a graduate degree or equivalent expertise.

Senior Data Scientist responsible for advancing and delivering trustworthy user-growth forecasts, partnering with Product, Finance, and Strategy to influence business decisions. Requires strong forecasting experience, quantitative expertise, SQL and Python proficiency, and excellent communication skills.

Develop statistical and machine learning models, experimentation, visualizations, and foundation-model solutions to deliver operational insights and support strategic decisions. Requires a bachelor’s degree and 3+ years of relevant analytics or data experience in SaaS or enterprise software.

Leads Attain’s data science methodology and team, owning defensible measurement, causal inference, attribution, and modeled consumer-data products. The role requires deep AdTech/MarTech expertise, strong statistical and Python skills, client-facing credibility, and at least 10 years of experience.

Leads RentSpree’s unified Data organization across engineering, science, analytics, and strategy, while shaping ML products, governance, experimentation, and self-service analytics. Requires 7+ years in data, senior people leadership, production ML experience, and strong SQL and modern data-stack fluency.

The Data Scientist will use experimentation, statistical analysis, and large-scale data to improve Lyft’s airport marketplace, identify growth opportunities, and guide product decisions. The role requires 4–6+ years of data science or analytics experience, strong SQL and Python skills, and effective cross-functional communication.

Senior Data Scientist supporting Plaid’s Credit product area, translating ambiguous product questions into analytics, metrics, experiments, and strategic insights. The role partners closely with product and engineering teams and requires 5+ years of data science or related analytics experience.

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.

Associate Data Scientist role for a 2027 college graduate, contributing to forecasting, matching, experimentation, and machine-learning systems. Requires quantitative academic training, Python and SQL proficiency, strong statistical foundations, and clear communication.

Build and ship forecasting, promotion-effectiveness, and data-quality models using complex retail and CPG data. The role requires 5+ years of data science experience, strong statistical foundations, and fluency in Python and SQL.

Marketing Scientist supporting OpenAI Ads will design and scale rigorous advertising measurement programs, advise major advertisers, and translate campaign data into actionable performance improvements. The role requires 10+ years of measurement expertise, strong experimentation and econometric skills, and hands-on SQL, Python, or R experience.

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.

Senior data scientist partnering with Growth Product, Engineering, and Applied AI to improve enterprise user adoption, engagement, retention, and expansion. The role requires 7+ years of quantitative experience, strong experimentation and causal inference skills, and proficiency in SQL plus Python or R.

Entry-level data scientist developing machine learning models and analytical methods to detect fraud, assess risk, and uncover patterns in large transactional datasets. Requires a master’s degree, strong Python and SQL skills, and knowledge of supervised and unsupervised learning.

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.

The first dedicated Trust & Safety data scientist will define ecosystem metrics, run experiments, evaluate safety models, and shape the roadmap with Product, Engineering, and Legal. Requires 6–8 years of data science experience, Trust & Safety or adjacent domain expertise, and strong SQL and Python skills.

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.

Build and validate production quantitative risk models for derivatives clearing, including volatility, correlation, stress testing, margin, and automated liquidation. The role requires 5–7 years of quantitative risk experience, expert Python skills, and an advanced quantitative degree or equivalent experience.

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.