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
The Data Science team at Gap Inc. transforms customer, product, digital, and market data into insights that drive measurable business impact. The successful candidate will lead high-impact analyses across customer acquisition and retention, product and basket performance, digital engagement, and omnichannel behavior. This role requires analytical rigor, business acumen, data storytelling, and strong stakeholder management. The ideal candidate can structure ambiguous business questions, connect insights across internal and external data sources, and clearly articulate what is happening, why it matters, and what actions to take.
What you'll do
- The ideal candidate is an applied, business-facing data scientist who pairs strong technical capabilities with a passion for working directly with business partners, using analytics and modeling to drive decisions rather than focusing primarily on behind-the-scenes model development.
- Lead end-to-end analytical projects, from framing complex business questions and developing the analytical approach to delivering actionable recommendations and measuring impact.
- Analyze large customer, transaction, product, marketing, and digital datasets to identify growth opportunities and business performance drivers.
- Translate complex findings into concise, executive-ready narratives that clearly communicate the “so what,” recommended actions, trade-offs, and expected impact.
- Develop customer and product analytics—including lifecycle, segmentation, basket, cross-shopping, cohort, funnel, and behavioral analyses—to inform business strategy.
- Integrate internal data with external sources, such as consumer trends, search behavior, competitive intelligence, and market research, to build a holistic view of the customer and business.
- Apply statistical, predictive, causal, and machine learning techniques when appropriate to improve business decision-making.
- Develop scalable analytical frameworks, reusable datasets, and automated processes that enable consistent measurement and reduce manual work.
- Partner with business leaders, product managers, data scientists, engineers, and technology teams to translate business priorities into analytical roadmaps and deliverables.
- Build trusted stakeholder relationships, proactively identify emerging needs, constructively challenge assumptions, and influence decisions through clear, data-backed recommendations.
Who you are
Required Qualifications
- Bachelor’s degree with 5+ years of relevant experience, or master’s degree with 3+ years of relevant experience, in Data Science, Statistics, Economics, Computer Science, Applied Mathematics, or another quantitative field.
- Proven ability to lead complex analytical projects from problem definition through recommendation and business activation.
- Advanced proficiency in SQL and experience working with large datasets in distributed or cloud environments.
- Proficiency in Python, R, Spark, or other modern analytics and data science tools.
- Strong written and verbal communication skills, including experience presenting recommendations to senior stakeholders.
- Self-starter with the ability to work independently, proactively drive work forward, manage multiple priorities, and collaborate effectively across functions.
Preferred Qualifications
- Experience in DTC retail, apparel, e-commerce, consumer products, or another customer-focused industry.
- Experience analyzing customer lifecycle, acquisition, retention, loyalty, product performance, or omnichannel behavior.
- Experience with basket analysis, product affinity, cross-shopping, or customer-product relationships.
- Experience integrating external data—such as search trends, consumer research, competitive intelligence, social listening, or market data—with internal performance data.
- Experience with digital analytics, including website or app engagement, customer journeys, conversion funnels, and marketing channel performance.
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.
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