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.

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.

Design and deploy optimization algorithms and incentive systems that improve driver engagement, marketplace efficiency, and earnings. The role partners with product, engineering, and operations teams and requires Python, quantitative modeling, experimentation, and at least two years of relevant experience.

The Data Scientist will use experimentation, statistical inference, and data analysis to guide Growth strategy, define metrics, and evaluate product opportunities. The role partners with product, engineering, and marketing leaders and requires strong SQL plus Python or R skills.

Leads the architecture and productionization of advanced consumption forecasting systems supporting financial planning, infrastructure capacity, and executive decisions. Requires staff-level technical leadership, deep time-series and causal modeling expertise, and strong Python and SQL skills.

Leads growth measurement, experimentation, funnel optimization, and data foundations for emerging healthcare products. The role partners with marketing, product, engineering, and design teams and requires strong SQL and Python or R experience, experimental methods, and data modeling expertise.

The Data Scientist will use product and user data, experimentation, causal inference, and statistical modeling to guide product, strategy, and operational decisions. The role requires 7+ years of data science or analytics experience, strong Python and SQL skills, and the ability to communicate insights to technical and business stakeholders.

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.

Build and ship forecasting, promotion-effectiveness, and data-quality models using retail and CPG data. The role requires 3–5 years of data science experience, strong statistical foundations, and fluency in Python and SQL.

The Data Scientist will use analysis, experimentation, forecasting, and statistical modeling to shape Spotify’s global audiobooks strategy across catalog, discovery, engagement, growth, and commercial initiatives. The role requires strong SQL and programming skills, business judgment, and cross-functional communication with senior stakeholders.

Develops scientifically rigorous sustainability methodologies that become product capabilities for corporate climate and ESG data. The role combines climate expertise, GHG accounting, standards interpretation, data reasoning, and hands-on collaboration with engineers and product teams.

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.

Develop and deploy machine learning models across the full lifecycle to manage financial risk and improve customer experience. The role requires 3+ years in data science or ML, strong Python and SQL skills, statistical expertise, production engineering experience, and cross-functional collaboration.

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.

Build and operate quantitative risk models, pricing tools, and real-time monitoring systems for futures trading while supporting live trading and applying AI techniques. The role requires 5+ years of quantitative, risk, or trading-systems experience, advanced Python skills, and strong futures-market knowledge.

The Health Economist leads claims-based ROI and health economics studies for digital MSK care, translating complex data into commercial insights and published research. The role requires a graduate quantitative degree, 3–5 years of applied econometrics and claims database experience, and strong R, SQL, or Python skills.

Senior individual contributor responsible for defining, operationalizing, and improving performance metrics for enterprise AI agent deployments. The role combines customer-facing advisory work, quantitative analysis, experimentation, and building scalable measurement tools and frameworks.

Senior Data Scientist supporting Discord’s experimentation platform by improving experimental rigor, statistical methodology, and causal inference practices. The role requires a quantitative master’s degree, experience with experiments or causal inference, strong cross-functional education skills, and proficiency in Python, SQL, and R.

Develop forecasting and scenario-planning capabilities for autonomous fleet operations, covering staffing, demand, charging, supply, and infrastructure. The role suits a currently enrolled quantitative-discipline student with experience in statistical modeling or machine learning and strong analytical communication skills.

Leads Clay’s Data Science and Analytics team, managing data scientists and analytics engineers while setting technical standards and measurement frameworks. The role partners with executives and cross-functional leaders to shape product and business strategy through experimentation, analytics, and data storytelling.

The Data Scientist will shape analytics strategy and deliver forecasting, experimentation, optimization, dashboards, models, and decision tools for Real Estate & Workplace operations. The role requires strong applied statistics, causal inference, SQL, Python, stakeholder communication, and comfort working with ambiguous operational data.

Analyzes product and business data, develops metrics and dashboards, and communicates actionable recommendations to cross-functional teams and leadership. Candidates should be pursuing a quantitative bachelor's or master's degree, with SQL proficiency and familiarity with Python or R.

Own customer-facing causal marketing measurement engagements, from model configuration and QA through interpretation, recommendations, escalations, and enablement. The role requires direct MMM experience, marketing experimentation knowledge, and strong customer communication skills.

Senior Data Scientist helping shape company planning and execution through statistical analysis, machine learning, data modeling, and decision-focused recommendations. Requires 5+ years of quantitative experience, strong SQL and Python skills, and the ability to communicate insights to varied stakeholders.

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.

Leads advanced analytics for Airbnb’s Community Support business, partnering with product and business leaders on experimentation, scalable data solutions, forecasting, machine learning, and AI-first workflows. Requires 8+ years of experience, advanced quantitative training, expert SQL, advanced Python, and strong stakeholder leadership.

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.

Leads the vision, statistical methodology, research, and education strategy for Discord’s experimentation platform. The role requires a quantitative PhD or equivalent experience, 4+ years in experimentation or causal inference, and proficiency with statistical programming languages.

This role measures and forecasts referral-channel performance, develops attribution and incrementality frameworks, and guides campaign investment through experimentation, modeling, and dashboards. It requires 4+ years in referral, marketing, growth, or product analytics, advanced SQL, Python or R, and strong causal analysis experience.

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.

The Pricing Actuary leads client proof-of-concepts, applies P&C ratemaking expertise, and translates insurance requirements into software-driven solutions. The role requires at least five years of pricing experience, strong rate-filing knowledge, and familiarity with predictive modeling and machine learning.

Provides technical leadership for AI and machine learning decision systems supporting sales and marketing, including forecasting, propensity modeling, causal measurement, and recommendations. Requires 5+ years of production data science experience, strong Python and SQL skills, and advanced quantitative training or equivalent experience.

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.

Leads and develops a product-focused data science team while partnering with cross-functional leaders to shape growth strategy, measurement, experimentation, and AI-powered product development. Requires 10+ years in data science or related fields, including 4+ years managing data science teams.

The Forward Deploy Data Scientist will partner with health systems and internal teams to investigate healthcare data, build and operationalize ML/LLM pipelines, and deliver actionable insights. The role requires 2–3 years of data science experience, strong Python and ML/NLP skills, and customer-facing communication ability.

The Data Scientist will serve as an embedded analytical partner to product and business leaders, owning experimentation, causal inference, predictive modeling, and metric design. The role requires 5+ years of data science experience, expert SQL and Python, strong statistical foundations, and the ability to influence strategic decisions.

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 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 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 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 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.