Data Scientist, Product to Market (P2M) Optimization

Gap Inc. is seeking a Data Scientist to join our Product-to-Market (P2M) Data Science team. P2M encompasses the decisions that shape how products move from planning to the customer, including what products to carry, how much inventory to buy, where and how inventory should be positioned, and how products should be priced and promoted. Our team applies machine learning, optimization, and analytics to improve these decisions across P2M lifecycle.This is a hands-on role for someone early in their career who has strong quantitative and programming fundamentals and wants to solve real-world retail problems at scale. The team operates in a fast-paced environment where priorities evolve and problems are not always fully defined. Success requires curiosity, initiative, and self-motivation, with a willingness to take ownership, learn quickly, and proactively move work forward. The candidate will work with experienced data scientists and cross-functional partners while building deeper expertise in applied data science and optimization.

What you’ll do

• Develop and test machine learning, optimization, and statistical models for retail P2M problems
• Analyze large datasets and develop analytical solutions using Python, SQL, and related technologies
• Write reliable, maintainable code and contribute to testing, documentation, and code management
• Evaluate model performance and support measurement of business impact using appropriate statistical methods
• Work with senior data scientists to troubleshoot, improve, and operationalize analytical solutions
• Collaborate with business, product, engineering, and data science partners to understand requirements and communicate analytical findings

• Master\xe2\x80\x99s 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, * Experience with mathematical optimization, including linear or mixed-integer programming, and tools such as Gurobi, Pyomo, OR-Tools, or equivalent
• Exposure to PySpark, Databricks, GCP, Git, or production data science environments
• Familiarity with experimentation or causal methods for measuring business impact
• Exposure to building AI agents or agentic workflows using large language models

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture. \n\n’b’

Our portfolio\xe2\x80\x94Old Navy, Gap, Banana Republic, and Athleta\xe2\x80\x94each brings a distinct point of view to how we show up in the world and serve our customers. \n\n’b’

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality.\xc2\xa0Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel.\xc2\xa0Athleta champions the Power of She through confidence, strength, and movement. \n\n’b’

We\xe2\x80\x99re driven by a shared purpose: to bridge gaps\xe2\x80\x94between people, perspectives, and possibilities\xe2\x80\x94to create a better world. \n\n’b’

We\xe2\x80\x99re building a team that performs at a high level\xe2\x80\x94people who think boldly, take ownership, and turn ideas into impact. If you\xe2\x80\x99re ready to learn fast and help shape what\xe2\x80\x99s next, you\xe2\x80\x99ll fit right in. \n’b”, * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. \t

• One of the most competitive Paid Time Off plans in the industry.* \t
• Employees can take up to five \xe2\x80\x9con the clock\xe2\x80\x9d hours each month to volunteer at a charity of their choice.* \t
• Extensive 401(k) plan with company matching for contributions up to four percent of an employee\xe2\x80\x99s base pay.* \t
• Employee stock purchase plan.* \t
• Medical, dental, vision and life insurance.* \t
• See more of the benefits we offer.

‘b’

*For eligible employees \n ‘