Sr Data Scientist (Conversion)

CVS Health•Woonsocket, RI

About The Position

Enable data-driven merchandising decisions by providing trusted data, reporting, and advanced analytics to RAAD teams and business leaders. The role supports front store analytics and decisioning by building and scaling data science, reporting, and AI-enabled solutions that help business partners make better merchandising decisions. It works with large internal and external datasets to develop models, analytics, and tools that improve performance visibility, identify growth opportunities, and support initiatives across merchandising, pricing, assortment, and category planning. The role also helps design, build, and enhance AI-agent functionality to improve how analytics are produced, accessed, and operationalized. This includes supporting agent-based workflows for data extraction, insight generation, decision support, reporting automation, and user interaction with analytics tools. The role partners with cross-functional stakeholders to translate business questions into scalable analytical products, modernize legacy processes, and combine business judgment with machine learning, automation, and AI-agent applications.

Requirements

Strong SQL and Python skills.
Strong data-wrangling skills and 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.
Bachelor's degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, or a related field.

Nice To Haves

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.

Responsibilities

Provide trusted data, reporting, and advanced analytics to RAAD teams and business leaders.
Build and scale data science, reporting, and AI-enabled solutions for front store analytics and merchandising decisions.
Work with internal and external datasets to develop models, analytics, and tools that improve performance visibility and identify growth opportunities.
Support strategic initiatives across merchandising, pricing, assortment, and category planning.
Design, build, and enhance AI-agent functionality and agent-based analytics workflows.
Support workflows for data extraction, insight generation, decision support, reporting automation, and user interaction with analytics tools.
Partner with cross-functional stakeholders to translate business questions into scalable analytical products.
Modernize legacy processes and develop capabilities combining business judgment, machine learning, automation, and AI-agent applications.