Top Data Science Jobs

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The role involves building and validating Marketing Mix Models and geo-experiments, managing measurement infrastructure, and communicating insights to stakeholders.

Lead product-focused analyses across growth, retention, creator and economy verticals. Define metrics and experiments, analyze user and creator behavior, build dashboards and reusable analytical assets, use AI-assisted workflows to accelerate analysis, collaborate with engineering to improve data quality, and communicate insights to influence product decisions.

The Lead Data Scientist will oversee AI projects, mentor engineers, and develop systems for knowledge retrieval and analysis in defense. Responsibilities include guiding technical strategy, collaborating across teams, and championing AI innovations.

The Lead Data Scientist will lead AI solution development for National Security by driving projects, mentoring teams, and enhancing systems with advanced simulation and optimization techniques.

Lead advanced statistical modeling and analytics for healthcare/public-sector clients. Define analytical approaches, build and productionize ML models, oversee ETL/ELT pipelines, ensure data governance for sensitive datasets, and translate results for non-technical stakeholders while consulting directly with government clients.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

Lead product-focused analyses and experiments to grow subscription product (Robinhood Gold). Identify target customers, design and analyze experiments, partner with Product/Marketing/Finance, and measure business impact to drive signups and retention.

Lead end-to-end data science work: exploratory and statistical analysis, data engineering, ML model development (recommendation engines, predictive systems), data visualization (Power BI, Tableau), and multi-int large-data analytics to support defense programs and produce actionable intelligence products.

The Lead Data Scientist will leverage advanced data science techniques to extract insights from complex datasets, guide AI/ML product implementation, and ensure compliance with ethical standards. Responsibilities include developing models, managing analytics transitions, and leading collaboration with stakeholders.

Design and build predictive models, AI tools, and data visualizations for CMS healthcare initiatives. Analyze quantitative and qualitative data (Medicare claims, public datasets, web analytics), perform feature engineering, anomaly detection, and provide insights to support product design and price-transparency tools. Collaborate with designers, product owners, and engineers in an agile environment.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

Lead product analytics for Handshake's recruiting marketplace: define metrics, own analytics strategy, run experiments, evaluate ML models, perform cohort and funnel analyses, build dashboards, and partner with product, engineering, and analytics engineering to drive data-informed growth and pricing decisions.

Activate and operationalize clinical data for analytics by designing data models, taxonomies, and a clinical feature store; build reusable data assets, documentation, and dashboards; ensure data quality and compliance; partner with stakeholders and data engineering to enable downstream analysts, data scientists, and business users.

Design and validate statistically defensible data-quality metrics and gap-filling methods for very large, multi-source datasets; benchmark against reference data; specify ingestion and checks; partner with SMEs and engineers to operationalize metrics at scale while preserving privacy and governance.

Lead cross-functional analytics for MSN & Copilot Discover to drive engagement and revenue. Build forecasting, scenario-planning, and ML solutions, evaluate UX/monetization tradeoffs, inform product and monetization strategy, and communicate insights to senior stakeholders to influence investments and business outcomes.

Lead data science support for investigations and litigation: identify, collect, and analyze business data to detect violations, calculate damages and penalties, advise investigators and attorneys, automate data collection/analysis systems, and support agency research and policy recommendations.

Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.

Seeking a Senior Data Scientist to provide technical expertise for a U.S. Government customer, focusing on data analytics and signals analysis.

The Principal Data Scientist will lead the design of knowledge graph infrastructure in Immunology, standardizing and integrating extensive biomedical data for cross-functional analytics and insights. Responsibilities include data modeling, ontology curation, and collaborating with various scientific teams.

Lead data science efforts for the Program Management Office: optimize and secure SQL databases, build and manage ETL pipelines, create BI dashboards in Tableau/Power BI, automate processes with Python and Airflow, use GitLab in Agile workflows, and perform statistical analysis and data mining to surface trends and insights.

Lead analyst at the Pentagon overseeing a distributed analytics team to standardize, extract, validate, and analyze DoD logistics data. Build automation, predictive models, visualizations, and reports using Python/R/SQL and ML frameworks. Use high-resolution simulation tools and DoD logistics systems to support operational decision-making and mission readiness.

As a Senior Data Scientist, you will design and deploy machine learning and graph algorithms to enhance identity trust solutions, own end-to-end projects, and collaborate with product and engineering teams to improve KYC and compliance products.

Lead development of mission-ready data exploitation and geospatial analytics solutions using Python. Integrate web APIs, build dashboards and visualizations, query relational databases, use GIS tools, and produce technical documentation. Operate independently at senior level, guide junior staff, collaborate across Intelligence Community analysts, and advise government leadership.