Top Data Science Jobs

Lead end-to-end data analysis and advanced model development to detect and mitigate insider threats. Define business requirements, build risk-scoring models and visualizations, drive policy and process improvements, brief leadership, and maintain data governance and platform integrity.

Lead product analytics for Roku's Home screen and discovery features: analyze structured and unstructured data, build dashboards and data pipelines, design A/B tests and models, provide actionable insights to product and engineering, and advise leadership to drive adoption and business value.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Senior Data Scientist oversees data collection and preparation, designs study protocols, leads report development, trains junior employees, and manages project workstreams while collaborating with team members to optimize business performance.

Own analytics projects end-to-end: write production Python code, design and analyze experiments to optimize CTV ad campaigns, build reporting and analytics tools, and translate insights into the Data Science product to support stakeholders and improve campaign performance.

The Sr Data Scientist, Risk will analyze fraud patterns, utilize machine learning techniques, develop models, and collaborate with teams to mitigate fraud in crypto trading.

Lead data science work for a CTV/adtech platform: write production Python code, design and analyze experiments, build reporting and analytics tools, translate insights into product, and collaborate with stakeholders to optimize ad campaigns.

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

Lead games data science for Disney's Fortnite partnership: develop advanced analytics, forecasting, experimentation, and behavioral segmentation; analyze telemetry and engagement data; define KPIs and measurement frameworks; build scalable analytics infrastructure and dashboards; translate findings into strategic recommendations for product, marketing, and executive stakeholders.

As a Data Scientist III, you'll build customer identity systems, develop recommendation models, predictive analytics for customer behavior, and collaborate with ML Ops and Data Engineering.

Lead data science for defense clients: perform data engineering, mining, exploratory/predictive/statistical analysis; build ML/AI tools (recommendation engines, automated scoring); manage large, disparate data sources using R/Python/SQL; create visualizations in Power BI/Tableau; support Multi-INT analytics and provide senior-level analytic products for the defense cover program.

Lead dataset creation, feature engineering, and predictive-model development for agentic AI products. Build RAG data pipelines and evaluation frameworks, apply rigorous statistical and causal-inference methods, and collaborate with product, engineering, and platform teams to integrate reliable model tools into agent systems.

Own statistical methodology for mission engineering: design experiments for large-scale simulations, apply Bayesian and regression methods, build scalable Python data pipelines and surrogate models, quantify uncertainty and sensitivity, produce decision-quality visualizations and reports, mentor teams, and support DoD/DARPA/intelligence programs.

Lead and execute complex analyses of large-scale health care claims, build data pipelines and analytic infrastructure, ensure data quality and reproducibility, manage projects and timelines, mentor junior staff, and translate results into policy-relevant insights.

The Senior Data Scientist will develop and deploy machine learning models for yield optimization, pricing, and inventory allocation in programmatic advertising. Responsibilities include building data pipelines, real-time inference systems, conducting experiments, and collaborating with product and engineering teams to enhance marketplace performance.

The Senior Data Scientist will design and deploy ML models for yield optimization and inventory allocation in programmatic advertising, build data pipelines, and monitor performance for effective marketplace balance.

Senior individual-contributor owning product and growth analytics: define and measure funnel metrics (signup, activation, conversion, retention), design and analyze experiments, build predictive models (activation, churn, LTV), clean and warehouse product/billing events, create dashboards and writeups, and partner with growth, product, and founders to find and size high-leverage opportunities.

The Data Scientist will design and develop advanced analytics applications, employing machine learning and statistical techniques to interpret complex datasets and improve operational effectiveness.

The Data Scientist SME will develop and scale GEOINT AI/ML pipelines, design ML models for geospatial datasets, mentor teams, and operationalize analytics in a cloud environment.