Role Overview
Join the Product-to-Market (P2M) Data Science team at Gap Inc. to apply machine learning, optimization, and analytics to improve decisions across the P2M lifecycle. This hands-on role is for someone early in their career with strong quantitative and programming fundamentals.
What You Will Do
Develop and test machine learning, optimization, and statistical models for retail P2M problems, analyze large datasets, and work with senior data scientists to troubleshoot and operationalize analytical solutions.
Why It Might Be a Fit
The ideal candidate has a Master’s degree in a quantitative field, 2-3 years of experience in data science, and a strong foundation in machine learning, statistics, and quantitative problem solving.
Requirements
- Master’s degree in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics/Statistics, Data Science, or a related quantitative field
- 2 to 3 years of experience in data science, machine learning, operations research, or applied analytics
- Experience working on retail, supply chain, pricing, inventory, merchandising, or related business problems
- Strong foundation in machine learning, statistics, and quantitative problem solving
- Hands-on proficiency in Python and SQL
- Self-motivated with demonstrated initiative and the ability to operate effectively in a fast-paced, evolving environment
- Strong analytical, communication, and collaboration skills
To apply for this job please visit gapinc.wd1.myworkdayjobs.com.
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