Principal Data Scientist - Recommender Systems

About the Role

You will lead the development and optimization of AI Systems that drive personalization for Gap’s digital business, working closely with cross-functional teams to deliver personalized and engaging experiences for our customers. At the principle data scientist level, this individual will have significant technical expertise and vision to drive the end-to-end development of complicated real time personalization AI Systems.

This role is located onsite in San Francisco, Pleasanton or Dallas.

What You'll Do

• Build, validate, and maintain AI (Machine Learning (ML) / Deep learning) models focused on customer personalization; diagnose and optimize performance
• Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
• Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
• Collaborate with others in key initiatives and their implementation
• Responsible for planning, budget and end results; set policies and strategic direction for area / team

Who You Are

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