Owns the full data-product lifecycle, including retail data imports, integrations, pipelines, metrics, reporting APIs, AI agents, and dashboards. Sets roadmap priorities, conducts retailer discovery, partners with engineering and data teams, validates product adoption, and uses SQL and analytics to measure business impact. Requires strong technical depth, enterprise customer communication, cross-functional execution, and occasional travel for store and customer visits.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.