Data Scientist, Product to Market (P2M) Optimization

The Gap • Folsom, NY

1d

About The Position

Gap Inc. is seeking a Data Scientist to join its Product-to-Market (P2M) Data Science team. P2M includes decisions that shape how products move from planning to customers, such as product selection, inventory purchasing and positioning, and pricing and promotions. The team uses machine learning, optimization, and analytics to improve decisions throughout the P2M lifecycle.

This hands-on role is intended for someone early in their career with strong quantitative and programming fundamentals who wants to solve real-world retail problems at scale. The environment is fast-paced, priorities evolve, and problems may not be fully defined. The successful candidate will bring curiosity, initiative, and self-motivation, take ownership, learn quickly, and proactively move work forward. They will work with experienced data scientists and cross-functional partners while building expertise in applied data science and optimization.

Requirements

• 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.

Nice To Haves

• 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level