Data Scientist II - Customer Analytics
Gap Inc.
About the role
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.
Responsibilities
- Lead analytical projects from business question framing through recommendations and impact measurement.
- Analyze customer, transaction, product, marketing, and digital data to identify growth opportunities.
- Communicate findings and recommended actions in executive-ready narratives.
- Develop customer and product analyses, including lifecycle, segmentation, basket, cohort, funnel, and behavioral analysis.
- Integrate internal data with external consumer, market, and competitive sources.
- Apply statistical, predictive, causal, and machine learning methods to support business decisions.
- Build reusable analytical frameworks, datasets, and automated processes.
- Partner with business and technical teams to shape analytical roadmaps and influence decisions.
Qualifications
- Bachelor’s degree in a quantitative field and 5+ years of relevant experience, or a master’s degree and 3+ years of relevant experience.
- Ability to lead complex analytical projects from problem definition through business activation.
- Advanced SQL skills and experience with large datasets in distributed or cloud environments.
- Proficiency in Python, R, Spark, or similar analytics tools.
- Strong communication skills, including presenting recommendations to senior stakeholders.
- Ability to work independently, manage priorities, and collaborate across functions.
- Preferred experience in retail, apparel, e-commerce, consumer products, or customer-focused industries.
- Preferred experience with customer lifecycle, acquisition, retention, loyalty, product performance, basket analysis, or omnichannel behavior.
Skills mentioned
About Gap Inc.
Gap Inc., a purpose-driven house of iconic brands, is the largest specialty apparel company in America. Its Old Navy, Gap, Banana Republic, and Athleta brands offer clothing, accessories, and lifestyle products for men, women, children worldwide through Company-operated and franchise stores and e-commerce sites. Since 1969, Gap Inc. has created products and experiences that shape culture, while doing right by employees, communities and the planet through its commitment to bridge gaps to create a better world. For more information, please visit www.gapinc.com.
H-1B sponsorship history
Historical employer filing data was found for Gap Inc.. The employer record includes 96 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.