Top Data Science Jobs

Design and build scalable data pipelines and models to enable segmentation, attribution, real-time engagement, and analytics. Ensure data quality, governance, and GDPR/PII compliance while partnering with MarTech, analytics, and marketing teams to deliver production-ready datasets, event streams, and CDP functionality for customer journey orchestration.

The Sr. Data Scientist in Aftersales Support develops predictive analytics and optimization solutions, models data processes, and collaborates on advanced reporting and dashboards.

Deliver end-to-end data science projects using machine learning and deep learning, collaborate with stakeholders, and support client engagement through analytical planning and solution design.

The Senior Data Scientist will lead data analytics projects, consult with clients, and develop data strategies and solutions, while managing a team and client relationships.

The Senior Data Scientist will apply data manipulation principles to solve technical problems, support NATO force design, and strategic decision making through big data solutions and advanced technologies.

Lead end-to-end data science within R&D: extract and analyze clinical and operational data, build and validate advanced ML/AI and LLM-integrated solutions, translate insights for stakeholders, mentor teams, and drive product innovation for Invisalign.

Lead development of time-series and econometric models (ARIMA, VAR, state-space, WLS, panel data) and Bayesian probabilistic frameworks. Use causal inference and stochastic processes to produce actionable insights, work with large datasets on Databricks, communicate results to stakeholders, and mentor junior team members.

The Senior Data Scientist will oversee experiment design and analysis for user migration initiatives, collaborating with cross-functional teams and utilizing advanced statistical methods for decision-making.

Lead experimentation in user migration and marketing strategies, applying advanced statistical techniques and causal inference methods to drive business decisions.

The role involves leading advanced data science model development, collaborating with stakeholders, ensuring data quality, mentoring juniors, and staying updated on data science trends.

Transform analytical models into interactive GEOINT visualizations and analyst-facing interfaces, streamline production workflows, identify trends and insights, and operationalize geospatial data using Python, SQL, GIS tools, version control, and dashboarding frameworks to support mission-critical NGA/USSOCOM operations.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

The Principal Data Scientist - Oncology will lead efforts in standardizing and connecting biomedical and clinical data through the development of scalable knowledge graph infrastructure and AI-Ready datasets.

Lead a team of Data Scientists and Data Engineers to create data assets, reports, and insights, influencing Epic's product strategies.

Lead a team of Data Scientists and Programmers to create data assets, insights, and reports impacting product decisions in gaming.

As a Senior Data Scientist, you will lead AI product hypotheses and experimentation, working with cross-functional teams to develop and evaluate AI solutions across various company functions. Responsibilities include designing datasets, building analytical features, and measuring product impacts using AWS tools and industry-best practices.

The Senior Data Scientist will develop and maintain ML models and analytical frameworks to enhance customer experiences at CarMax, collaborating with Product and Operations teams to drive business-critical decisions and improve operational effectiveness.

Leads projects in data science to analyze complex data sets using advanced statistical methods, providing insights for business decisions and managing cross-functional teams.

Lead end-to-end data science for aviation supply chain and operational data: integrate disparate sources, perform quality assessments, build predictive and statistical models (classification, regression, time series), document algorithms, and communicate results to stakeholders.

The Senior Associate Scientist will analyze and visualize data, collaborate on screening strategies, and validate hits for drug discovery using the EMMI platform.

Lead a data science team to design, build, and deploy large-scale, real-time AI/ML solutions (forecasting, diagnostics, LLM chatbot, retention models, optimization) to optimize GPU cloud gaming performance and user experience.

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 development and deployment of analytical models, metrics, and tools for Hockey Operations. Produce visualizations and reports, communicate insights to coaches and decision-makers, mentor junior analysts, collaborate to deliver production-ready data products, and advance the organizations hockey analytics capabilities.

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.