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# Sr Data Scientist (Conversion)

- **Company:** CVS Health
- **Location:** Woonsocket, RI, United States
- **Experience:** Expert
- **Salary:** $101,970 - $222,480
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Files, Data Transformation, Data Mining, Decision Support Systems, Human-Computer Interaction, Python (Programming Language), Machine Learning, Standard Sql, Agentic-AI, Information Technology, Data Analytics, Tools for Reporting
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-scientist-conversion-woonsocket-ri--c08da36d-7900-4338-9527-71e48ad68646

## About the Role

Data Science, Healthcare, Establish Priorities, Safety/Work Safety, Merchandising, Strategic Planning, Pricing, Data Sets, Data Science, Artificial Intelligence (AI), Strong SQL/Python and data-wrangling skills, with the ability to write scalable, production-level code
Ability to design, test, improve, or support AI-agent functionality and agent-based workflows for analytics, automation, insight generation, or user interaction with analytical tools

Preferred Qualifications
Experience building, supporting, or operationalizing AI-enabled tools, agent-based workflows, or analytics automation capabilities
Experience in retail, CPG, merchandising, pricing, loyalty, customer analytics, or other large-scale consumer data environments, Bachelor's degree in Data Science, Statistics, Computer Science, Operation Research, Engineering or related field.

## Description

Enable data-driven merchandising decisions by providing trusted data, reporting, and advanced analytics to RAAD teams and business leaders, transforming complex data into actionable insights that drive enterprise impact.

The new hire will support front store analytics and decisioning by building and scaling data science, reporting, and AI-enabled solutions that help business partners make faster, better merchandising decisions. This role will work across large internal and external data sets to develop models, analytics, and tools that improve visibility into performance, identify growth opportunities, and support strategic initiatives across merchandising, pricing, assortment, and category planning.

The role will also help design, build, and enhance AI-agent functionality that improves how analytics are produced, accessed, and operationalized. That includes supporting agent-based workflows for data extraction, insight generation, decision support, reporting automation, and user interaction with analytics tools. The new hire will partner with cross-functional stakeholders to translate business questions into scalable analytical products, modernize legacy processes, and develop capabilities that combine strong business judgment with machine learning, automation, and AI-agent applications.