Principal Data Scientist: P2M Optimization for Retail

Gap Inc.
San Francisco, US
On-site

Job Description

Gap Inc. is seeking a Principal Data Scientist in San Francisco to lead advanced analytics solutions in operations research and machine learning. The role demands deep expertise to optimize pricing, inventory, and assortment across a prominent retail supply chain. Candidates should have a Master's or Ph.D., 10+ years of relevant experience, and strong technical proficiency in Python, SQL, and PySpark. Notable benefits include a significant merchandise discount, competitive PTO plans, and health insurance.

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Skills & Requirements

Technical Skills

PythonSqlPysparkOperations researchMachine learningRetail

Employment Type

FULL TIME

Level

principal

Posted

4/28/2026

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