Data Scientist II, Enterprise Data Science and AI

About Gap Inc.

Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.

This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions.

Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet.

Ready to learn fast, create with audacity and lead boldly? Join our team.

About The Role

The Enterprise Data Science and AI team at Gap Inc. is seeking a talented data scientist to work in the P2M space and help us drive growth, optimize inventory, and enhance operational excellence across all Gap Inc. brands. The team’s focus is on developing and deploying predictive and prescriptive analytics capabilities across different domains, including merchandising, inventory management, demand forecasting, and localization, in partnership with GapTech, Product Management, and business partners across our brands.

What You’ll Do

• Design and execute controlled experiments or causal inference studies (e.g., A / B tests, quasi-experiments) to measure the true incremental impact of product or operational initiatives
• Drive causal insights behind core KPIs through robust statistical methods, and design experiments beyond A / B testing (e.g., multi-armed bandits, sequential tests, quasi-experiments)
• Develop and implement data-driven models to improve inventory availability and productivity
• Collaborate with data engineering teams to ensure data accessibility, integrity, and scalability for modeling and experimentation purposes
• Build the foundation for experimentation at scale by developing shared frameworks, tools, and documentation that standardize methodologies and establish robust standards for experimental integrity
• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders to drive strategic adoption of data science models
• Explore cutting-edge intersections of generative AI and causal inference, developing LLM-driven prototypes that demonstrate new analytical and experimental capabilities

Who You Are

Benefits at Gap Inc.

Gap Inc. is an equal‑opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long‑held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Salary Range : $141,000 - $186,800 USD

Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

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