Data Scientist Jobs in United States

Applied Information Sciences (AIS) AI Engineering team drives AI solutions for federal clients, building and scaling models from concept to production. The Senior Data Scientist will develop and deploy AI models, leveraging Python and ML toolkits, and collaborate with stakeholders across the DMV area.

The Data Scientist will lead AI initiatives to boost revenue, efficiency, and patient lifetime value. Responsibilities include developing machine learning algorithms, data engineering, and NLP. The role requires expertise in SQL, Python, and R, along with statistical knowledge to drive business success through data-driven insights and projects.

Data Scientist at CVS Health to extract key information from legal contracts using NLP, ML, and RAG techniques. Develop extraction algorithms, build dashboards, and optimize document processing.

Data Scientist II at Horizon Media’s NEON platform, a commerce analytics engine that optimizes eCommerce media spend. The role builds and refines predictive models, automates data pipelines, and collaborates with product, engineering, and client teams to deliver actionable insights.

Data Scientist on the Home Depot data science team, driving business profitability and customer experience through advanced analytics. Designs and develops algorithms on large datasets, leads projects, and presents insights to stakeholders.

Data Scientist role in Fidelity’s Fraud Risk & Control Detection Team. Build innovative fraud detection models, collaborate with data scientists, engineers, product managers.

The Data Scientist role involves analyzing complex data sets to derive actionable insights using statistical methods, machine learning, and data visualization tools. The position requires conducting data analytics, engineering, and mining, as well as building AI/ML tools to automate processes.

Data Scientist in Cinemark's Data Science group develops and applies analytic methods to solve business problems, focusing on pricing, consumer insights, and multi-channel analytics. Uses Python, SQL, machine learning, and visualization tools to deliver actionable insights and support decision-making across the entertainment operation.

Data Scientist role in Manulife/John Hancock AI Team. Lead end-to-end ML model development on Azure Databricks and AKS, deploy LLM/Generative AI with RAG and Azure AI Search, design recommendation and content generation models for sales and marketing, monitor model performance, collaborate cross-functionally, stay current on AI advances.

Zoom’s Data Science team builds intelligent systems that turn product data into growth insights. The role designs scalable data models and predictive systems to inform customer growth strategies, partners with Product and Engineering to ensure reliable data collection and model deployment, and builds automated pipelines to maintain model accuracy.

Data Scientist role in Boston’s Financial and Evaluation Measurement team. Analyze large healthcare datasets, build predictive models, create visualizations, and lead cross‑functional projects to inform financial decisions and improve member outcomes.

Data Scientist role at Tarro focuses on driving insights and building data-driven solutions to support restaurant operations. Responsibilities include developing predictive models, collaborating with cross-functional teams, and deploying models into production.

Northrop Grumman offers a role for a Data Scientist to develop and maintain enterprise systems, analyze data from multiple sources, and create actionable insights and visualizations for stakeholders.

Applied Information Sciences seeks a Data Scientist to support federal investigations for the Department of Homeland Security’s Office of Inspector General. The role involves advanced data analytics, mining large datasets, and developing prototype software to uncover fraud and corruption patterns.

A Data Scientist at Sysco leverages advanced analytics to enhance demand generation, assortment, costing, pricing, and supply chain models. The role involves acquiring, cleansing, and manipulating large data sets from internal and external sources, building mathematical and machine‑learning models, and creating dashboards to track model performance.

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Leidos seeks a Data Scientist to develop, deploy, and sustain data‑driven analytic solutions for national security customers in classified environments. The role focuses on the full analytics lifecycle—from data ingestion and exploration to modeling, visualization, deployment, and ongoing operations.

Markon seeks an experienced Data Scientist to build reliable data pipelines and analytics for mission-critical X14 data. The role focuses on Python-based automation, data flow optimization, and stakeholder collaboration to deliver accurate, scalable solutions.