Top Senior Data Science Jobs

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.

Lead a small-to-medium data science team to design, develop, and deploy advanced AI/ML solutions (especially LLMs/Transformer models), mentor junior staff, define methodologies and governance, collaborate cross-functionally, and set team strategy and high standards for model development.

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.

Design and deploy predictive risk and segmentation models for commercial insurance underwriting and pricing. Apply actuarial principles, statistical and ML techniques, manage large datasets, validate and monitor models, and translate analytical outputs into actionable insights for product and underwriting teams.

Lead data science efforts for sustainment systems: design data pipelines and models, perform statistical analysis, build interactive dashboards, maintain VMs/databases, collaborate cross-functionally, mentor teams, and establish data governance and quality practices for Triton Enterprise.

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.

Lead advanced data analysis and modeling efforts to solve business problems. Develops complex statistical models and algorithms, ensures data quality, identifies new data sources, and partners with leadership to implement model results into operations. Presents findings and recommendations to technical and executive audiences and mentors junior staff.

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.

Design and deploy scalable statistical and machine learning models on large health datasets (claims, EHR, pharmacy). Prototype NLP search, resolve identity/merge anomalies, collaborate with product, engineering and analytics to productionalize models, monitor performance, and drive data-driven product improvements.

Lead the design and delivery of people analytics products by applying product thinking, data science, and ML productionization. Build self-service analytics, prototypes, and UX-tested features; partner with analytics and engineering teams; measure adoption; automate workflows; ensure data governance, privacy, and responsible AI practices to drive measurable business impact across Expedia Group.

Lead end-to-end data science experiments on messy federal and private data: run EDAs, graph analytics and GNNs, perform probabilistic entity resolution, apply LLM-based NER, train interpretable classifiers and anomaly detectors, document reproducible pipelines, and present rigorous, statistically sound findings to operational stakeholders.

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 data science across Growth and Membership Operations: define problems, build scalable data models and pipelines, develop analytical and ML solutions, partner cross-functionally, and integrate AI tools to optimize sales, marketing, telesales, and enrollment operations.

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

The Senior Data Scientist will lead AI and ML initiatives, translating workforce data into insights, designing data workflows, and mentoring junior data scientists.

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 Data Scientist will design and deploy machine learning models, analyze complex datasets, develop analytical solutions, and mentor junior team members in a remote environment.

Lead a team of Data Scientists to implement data models, analyze data, optimize business strategies, and enhance customer experiences.

As a Senior Data Scientist at Databricks, you'll shape data science strategies, collaborate with stakeholders, mentor junior scientists, and build internal data products.

As a Senior Data Scientist at Omnissa, you will lead the data science team to innovate AI/ML solutions, develop advanced analytics models, and collaborate on integrating machine learning into core platform features.

The Senior Data Scientist will develop credit risk predictive models, collaborate with engineering, and ensure high-quality data science product deployments while monitoring model performance.

The Lead Data Scientist will drive AI innovation, manage data science strategies, build AI systems, and collaborate on scalable AI solutions for healthcare delivery.

The Data Scientist will develop and implement ML models, analyze financial data, create dashboards, and collaborate with various teams to enhance decision-making processes for underserved communities.

Lead end-to-end data science projects to build, validate, and deploy statistical and machine learning models. Drive experimentation, causal analysis, and decision-support analytics for product and business stakeholders, mentor junior team members, and partner with engineering to productionize models and measurement frameworks.