CareerPlan

Manager, Data Science- Merchandising Category Analytics

Nonstore WARNERCROS TEMPE AZ, USFull-time2026-10-02 → 2026-11-10

Core

Lead Data Science, Machine Learning, and AI initiatives for Merchandising Category Analytics to improve decisions and business performance.

Role type

Manager, Data Science (Merchandising Category Analytics)

Builds

Scalable solutions for pricing, assortment, promotions, forecasting, experimentation, optimization, customer insights, and category performance.

Domain

Retail / Merchandising / Category Intelligence

Deliverable

production ML models

Required skills

Python, SQL, R, Azure, Snowflake, Databricks, MLOps, A/B testing, experiment design, team leadership, commercial acumen

Preferred skills

Generative AI, AI agents, advanced business degree

Technologies

Azure, Snowflake, Databricks

Responsibilities

Shape the Data Science and AI portfolio aligned with merchandising priorities; Partner with business leaders to identify high-value opportunities and define business problems; Lead solution development from data discovery through production deployment; Measure business value and demonstrate impact of investments; Lead and develop talent including coaching and mentoring.

Seniority

Manager, hands-on IC with leadership