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This role partners closely with Distribution Center and Contact Center Operations, Engineering, Technology, and other cross-functional teams to develop and implement analytical capabilities that support operational decisions, identify opportunities for improvement, and enable smarter, more efficient operations for our customers and brands.What You'll Do
- Develop and implement analytical models, algorithms, tools, and automated processes that improve operational performance and decision-making across DC/CC network
- Analyze operational and supply chain data to identify trends, root causes, and opportunities to improve productivity, capacity, service, and cost
- Translate complex data into clear, actionable insights and recommendations for Operations and functional leaders.
- Partner with Operations, Engineering, Technology, and other cross-functional teams to develop and implement scalable analytical and optimization solutions.
- Leverage AI, machine learning, automation, forecasting, and advanced analytics to simplify work and optimize network performance.
- Measure the effectiveness and business impact of analytical solutions and recommend enhancements to drive continuous improvement.
- Deploy machine learning algorithms in production environment.
- Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- 9+ years experience in advanced analytics, data science, operations research, supply chain analytics, or a related field.
- Experience in deploying, scaling, and monitoring machine learning models.
- Experience applying AI and machine learning capabilities to identify opportunities, improve decision-making, automate processes, and optimize operational performance.
- Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
- Ability to collaborate with cross functional teams and influence product and analytics roadmap.
Skills Required
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- 9+ years of experience in advanced analytics, data science, operations research, supply chain analytics, or a related field.
- Experience deploying, scaling, and monitoring machine learning models.
- Experience applying artificial intelligence and machine learning to improve decision-making, automate processes, and optimize operational performance.
- Ability to analyze detailed information, summarize findings, and make strong recommendations for change.
- Ability to collaborate with cross-functional teams and influence product and analytics roadmaps.
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.
