Top Senior Data Science Jobs

Develop and execute analyses, predictive models, and reporting to improve Medicare Star Ratings. Analyze large healthcare datasets, extract actionable insights, partner with clinical/operations/product/IT teams, and present recommendations to stakeholders.

The Senior Data Scientist will enhance intelligence operations through advanced data analysis, machine learning, and support for GEOINT and multi-INT methodologies, requiring collaboration and leadership in complex problem-solving.

The Senior Data Scientist will process and analyze large datasets, create data-driven solutions, and lead the development of analytics processes for the DoD and Intelligence Community.

The Senior Data Scientist will develop and operationalize advanced analytics solutions, enhance intelligence production, and create dashboards. They will lead projects using Python, SQL, and data visualization tools while ensuring data integrity and operational effectiveness for the DoD and Intelligence Community.

The Senior Data Scientist develops Python-based analytic solutions, integrates structured/unstructured data, and creates dashboards to support the DoD and Intelligence Community missions.

The Staff Data Scientist designs and implements data science models, collaborates with stakeholders, mentors junior scientists, and ensures data quality to meet business needs.

The Data Scientist III will enhance cybersecurity operations using data science and machine learning techniques, developing analytical models, and integrating data from various sources to improve threat detection and monitoring.

Lead development, maintenance, and monitoring of credit risk models and loss forecasts. Extract and analyze large datasets with Python/SQL, automate reporting and dashboards, perform EDA and stress/sensitivity analyses, document audit-ready model deliverables, support model governance/validation, and communicate insights to stakeholders to inform credit policy and decisioning.

Analyze consumer loan portfolios to monitor performance, forecast losses, and recommend credit policies. Build and apply predictive models, time-series analysis, and segmentation to support portfolio risk management, due diligence, and governance reporting. Present findings to stakeholders and support audits.

As a Data Scientist in Marketing, you will enhance AI-driven marketing strategies, collaborate with teams to develop metrics, analyze marketing data, and recommend improvements for user engagement.

Collect, integrate, and prepare data from multiple sources; design data models, predictive algorithms, and ML solutions; build dashboards and visualizations; ensure data quality and support analytics for FBI financial management, client delivery, and business development.

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.

Senior individual contributor who drives product analytics, experimentation, and applied modeling. Owns growth and performance analyses, designs experiments with robust statistical evaluation, builds repeatable reporting, and partners with Product, Engineering, Operations, Clinical, and Finance to translate data into actionable product and operational decisions.

Senior IC for GTM analytics who builds and owns GTM data models, pipelines, and a semantic layer; runs deep analyses on funnel, conversion, forecasting, quota, and retention; partners with product data and engineering to ensure consistent data and operationalized metrics for non-technical stakeholders.

Support NGA analysts by designing scalable Python-driven data processes, performing exploratory and operational analyses, producing actionable insights and geospatial visualizations, and managing multiple projects to integrate findings into mission workflows.

Apply statistical and machine learning methods to workforce data to generate insights for talent, retention, and workforce planning. Build predictive models, dashboards, automated reporting, and support HCM implementations while ensuring data governance, privacy, and ethical use of employee data. Partner with HR, Finance, IT, and business leaders to translate analyses into actionable recommendations.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Sr. Data Scientist will collaborate on clinical projects, translate data into actionable insights, and ensure study compliance, requiring advanced statistical computation skills.

The Data Scientist will develop advanced analytics for cybersecurity, collaborate with engineers and analysts, model complex data, and support threat intelligence.

The Data Scientist II will drive insights, develop models, and analyze product experiments to inform business decisions and improve member experiences in healthcare.

Lead data science for Search & Discovery: analyze customer search interactions, design and measure experiments, build datasets and analytics pipelines, and optimize ML/LLM ranking models to improve relevance and personalization.

Partner with product, operations, and leadership to develop end-to-end predictive and prescriptive models. Frame ambiguous business problems, perform feature engineering and validation, deploy and monitor models in production, design human-facing outputs, run experiments/causal analyses, and use modern AI/LLM tools responsibly. Communicate insights to influence decisions and help grow Vanguard's analytics practice.

Apply quality domain expertise and advanced analytics to detect root causes, build predictive models, automate data pipelines, and translate findings into executive-level insights to improve hardware quality across the product lifecycle.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

The role involves building predictive cohort models, analyzing data to drive business insight, collaborating with teams, and mentoring junior analysts.