Top Senior Data Science Jobs

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

As a Senior Data Scientist, you'll optimize search relevance, retrieve content, analyze data, and collaborate with teams to enhance product strategies.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

The Data Scientist will lead the development of data products that enable AI-driven insights, ensuring compliance and optimizing processes across CMC workflows.

Lead data scientist who partners with stakeholders to define problems, pull and analyze SQL data using Python/R/Excel, evaluate statistical significance, visualize results in Tableau, and present actionable insights. Works with data engineers to implement solutions and participates in Agile ceremonies and regular on-site collaboration.

Own the end-to-end analytical function for a business unit (growth, product, AI, or partnerships): define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions with stakeholders to deliver measurable business impact.

Embed within a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Lead embedded data science for a business unit (growth, product, AI/automation, or partnerships). Define problems, build metrics, run analyses and experiments, surface insights, and drive decisions end-to-end with stakeholders to improve key business outcomes.

Embed within a business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, and partnerships.

Lead data science engagements: work with clients to define problems, build ETL pipelines, develop machine learning models and algorithms, create visualizations, guide teammates, and deploy analytic solutions to inform decision-making across classified and unclassified environments.

Design and implement data science solutions: build ETL pipelines, clean and model structured/unstructured data, develop predictive and ML algorithms, create visualizations, lead teammates, and communicate insights to clients. Work often involves classified intelligence data and integration of FOSS/COTS tools.

Design, build, and deploy data integration, ETL, statistical and data-mining solutions to analyze agency data. Conduct operational research and program evaluation, produce visualizations and reports, present findings to senior leadership, and support/mentor technical teams while transitioning analytics into operational use.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

The Data Scientist will conduct data research, develop analytics models, ensure data quality, and communicate actionable insights to stakeholders. Responsibilities include statistical analysis, data mining, and collaboration with business experts to enhance decision-making.

As a Lead Data Scientist in Fraud, you will develop, deploy, and monitor machine learning models to detect and prevent fraud, while leading a team and collaborating across departments.

As a Senior Data Scientist, you will analyze complex data, develop algorithms, and create insights using machine learning and AI techniques in various sectors, while collaborating closely with clients.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and apply machine learning to solve critical business problems across various sectors while collaborating with clients to provide actionable insights.

The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior Data Scientist analyzes semiconductor manufacturing data, develops predictive models, collaborates with teams for process optimization, and creates data visualizations to enhance product performance.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

The Data Scientist will develop Big Data/Cloud solutions, manage data manipulation, and work in an agile team for national security projects.

The Sr Staff Data Scientist will lead ML and AI projects, influencing product quality through advanced analytics and mentoring team members.

The Lead Data Scientist will analyze user business problems, develop system recommendations, and create technical solutions within multi-disciplinary teams to enhance data management and analytics.

The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.