Data Scientist, Product to Market (P2M) Optimization

Gap Inc; San Francisco (CA); On-site; USD 147,000 - 191,000; Full time

Benefits offered by this job

Merchandise discount (50%)

Paid Time Off

Volunteer hours (5 hours/mo)

401(k) matching

Employee stock purchase plan

Medical, dental, vision insurance

Job summary

Gap Inc. is seeking a Data Scientist to join the Product-to-Market Data Science team. You will build ML and optimization models to guide product selection, inventory, pricing, and promotions, partnering with product, engineering, and analytics teams.

You’ll work on large retail datasets, applying Python, SQL, and statistical methods in a fast-paced environment while learning from experienced data scientists to drive measurable business impact.

Qualifications

• Master's degree in a quantitative field (OR/OM/IE/Data Science or related).
• 2–3 years of experience in data science, ML, OR, or applied analytics.
• Experience with retail, supply chain, pricing, inventory, merchandising, or similar business problems.
• Strong foundation in ML, statistics, and quantitative problem solving.
• Hands-on proficiency in Python and SQL.
• Self-motivated with initiative in fast-paced environments.
• Strong analytical, communication, and collaboration skills.

Responsibilities

• Develop and test ML, optimization, and statistical models for retail P2M problems.
• Analyze large datasets and develop analytical solutions using Python, SQL, and related tools.
• Write reliable, maintainable code and contribute to testing and documentation.
• Evaluate model performance and measure business impact using statistical methods.
• Collaborate with senior data scientists and cross-functional partners to move solutions forward.
• Communicate analytical findings clearly to business, product, engineering, and data science teams.

Skills

Python

SQL

Machine learning

Statistics

Education

Master's degree in OR/OM/IE/Applied Math/Data Science

Tools

Gurobi

Pyomo

OR-Tools

PySpark

Databricks

GCP

Git

Job description

About Gap Inc.

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.

About Gap Inc.

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. Our portfolio - Old Navy, Gap, Banana Republic and Athleta each brings a distinct point of view to how we show up in the world and serve our customers. Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement. We are driven by a shared purpose: to bridge gaps - between people, perspectives, and possibilities to create a better world. We are building a team that performs at a high level - people who think boldly, take ownership, and turn ideas into impact. If you're ready to learn fast and help shape what's next, you'll fit right in.

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

Salary Range:

$146,500.00 - $190,500.00

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.

Benefits at Gap Inc.

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

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.