Data Scientist, Product to Market (P2M) Optimization
Gap Inc.
About the role
About the Role
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
Who You Are
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
Preferred Qualifications
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
Responsibilities
- Develop and test machine learning, optimization, and statistical models for retail product-to-market problems
- Analyze large datasets and build analytical solutions using Python, SQL, and related technologies
- Write maintainable code and contribute to testing, documentation, and code management
- Evaluate model performance and measure business impact using statistical methods
- Troubleshoot and operationalize analytical solutions with senior data scientists
- Collaborate with business, product, engineering, and data science partners
Qualifications
- Master’s degree in a quantitative field such as operations research, industrial engineering, applied mathematics, statistics, or data science
- 2 to 3 years of experience in data science, machine learning, operations research, or applied analytics
- Experience with retail, supply chain, pricing, inventory, merchandising, or related business problems
- Strong foundation in machine learning, statistics, and quantitative problem solving
- Proficiency in Python and SQL
- Preferred experience with mathematical optimization tools such as Gurobi, Pyomo, or OR-Tools
- Preferred exposure to PySpark, Databricks, GCP, Git, experimentation, causal methods, or AI agents
Skills mentioned
About Gap Inc.
Gap Inc., a purpose-driven house of iconic brands, is the largest specialty apparel company in America. Its Old Navy, Gap, Banana Republic, and Athleta brands offer clothing, accessories, and lifestyle products for men, women, children worldwide through Company-operated and franchise stores and e-commerce sites. Since 1969, Gap Inc. has created products and experiences that shape culture, while doing right by employees, communities and the planet through its commitment to bridge gaps to create a better world. For more information, please visit www.gapinc.com.
H-1B sponsorship history
Historical employer filing data was found for Gap Inc.. The employer record includes 96 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.