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're driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world. We're 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:
In this position you will support the advancement of data-driven decision-making and operational optimization across Gap Inc.'s Distribution Center and Contact Center network. Reporting to the Director, Logistics Analytics and Optimization, this role translates complex operational data into actionable insights, analytical solutions, and optimization opportunities that improve network performance, efficiency, and responsiveness 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.
Who you are:
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.
Salary Range:
$155,900.00 - $202,700.00 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
