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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’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
Skills Required
- Master's degree in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics or 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 with 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-motivation, initiative, and ability to work 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
Gap (gapinc.com). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gap (gapinc.com). and has not been reviewed or approved by Gap (gapinc.com)..
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered, alongside programs that support physical, mental, and financial wellbeing. Feedback suggests eligible employees can also leverage tools like FSAs and additional wellbeing resources.
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Leave & Time Off Breadth — Paid time off, company-paid holidays, and multiple leave options (sick, disability, and family leave) create broad time-away coverage. Some roles start with substantial PTO accrual and can access flexible leave arrangements.
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Wellbeing & Lifestyle Benefits — A generous cross-brand merchandise discount is a standout perk, complemented by commuter benefits, on-the-clock volunteer hours, and matching donations. Feedback suggests these lifestyle benefits add meaningful value beyond base pay.
Gap (gapinc.com). Insights
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands. Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco. Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next. Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead. We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
