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About the Role

The Product Analytics Team at Gap Inc. is a research team that applies techniques from operations research and machine learning to drive business benefits for Gap Inc. and its brands.

The team’s focus is creating analytical capabilities to support product operations at Gap Inc.  Areas of expertise include demand forecasting, inventory replenishment, inventory and supply chain optimization, pricing, product testing, product attributes, flexible inventory and supply chain initiatives

• Build, validate, and maintain Operations Research (OR) and/or AI( Machine Learning (ML) /Deep learning), models
• Work with large quantities of data in scripting languages
• Synthesize findings, prepare presentations and assist in presenting findings to all levels of management
• Provide framework/methodology for measurement and feedback mechanism for models
• Collaborate within the team and outside the team to solve a complex problem

• option 1: PhD in Operations Research, Operations Management, Statistics, Math, Computer Science, Industrial Engineering or related field preferred 
• option 2: Masters degree in one of the fields noted above + minimum 3 years of relevant work experience.
• Proven experience in areas of optimization, statistics, machine learning, and inventory theory
• Ability to develop and apply analytic solutions to solve business problems
• Skills to collaborate with cross-functional teams and influence product and analytics roadmap
• Hands-on experience with data analysis, statistical, optimization and simulation packages (SQL, Python, SAS, Tensorflow, Hive, etc)