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Data Scientist - Job Opportunity at Gap Inc.

San Francisco, US
Full-time
Entry-level
Posted: August 8, 2025
On-site
USD 121,900 - 161,600 per year

Benefits

Comprehensive merchandise discount offering 50% off regular-priced items across all brands, providing significant personal savings and brand connection
Industry-leading paid time off plan that exceeds market standards for work-life balance
Paid volunteer time allowing up to 5 hours monthly for charitable work, demonstrating corporate social responsibility commitment
Competitive 401(k) retirement plan with company matching up to 4% of base pay, ensuring strong retirement security
Employee stock purchase plan enabling direct investment in company growth and financial participation
Complete healthcare coverage including medical, dental, vision and life insurance for comprehensive employee protection

Key Responsibilities

Drive strategic business impact by translating complex stakeholder needs into actionable data insights that directly influence senior leadership decisions across four iconic retail brands
Lead customer-centric analytics initiatives that quantify and monitor key performance metrics, enabling Brand Leadership to make data-driven decisions that enhance customer experience and drive revenue growth
Optimize operational efficiency by streamlining delivery processes for critical reporting deliverables that support business decision-making across multiple brands
Engineer comprehensive data solutions by assembling and analyzing customer, product, financial, and transactional data from multiple large-scale systems to generate actionable business recommendations
Develop and maintain sophisticated customer segmentation strategies and behavioral KPIs through advanced dashboards and reporting systems that track business performance
Foster cross-functional collaboration by working with Decision Support teams across brands to identify high-impact opportunities and contribute to enterprise-wide data initiatives
Continuously expand technical expertise and business knowledge to improve analytical impact, influence, and data storytelling capabilities within the organization

Requirements

Education

Bachelor's degree in Statistics, Economics, Analytics, Data Science or other quantitative field required. MS degree preferred

Experience

1+ years of experience an analytics role, with at least one year in a business setting, preferably with a multi-channel retailer, or in a management/internal consulting role where analytics is a central area of focus

Required Skills

Analytically minded with strong business acumen Proficient in using SQL for analysis of large customer and transactional datasets Other languages, such as R, Python or SAS, a plus Strong business acumen, and superior written, verbal skills Adept at drawing insights, visualizing results and curating client-facing presentation materials Passionate about retail, customer experience, and digital marketing Exposure to building data visualizations, business intelligence tools. Ex: Tableau, PBI Curious, life-long learner, self-motivated and able to work independently or as part of a team
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Sauge AI Market Intelligence

Industry Trends

Retail analytics is experiencing unprecedented growth as companies prioritize data-driven customer experience optimization and omnichannel integration. The industry is shifting toward real-time personalization and predictive analytics to enhance customer lifetime value, with companies investing heavily in customer data platforms and advanced segmentation strategies. Multi-channel retail analytics is becoming increasingly sophisticated, with emphasis on unified customer journey mapping across digital and physical touchpoints. Companies are focusing on attribution modeling and cross-channel performance optimization to maximize marketing ROI and improve customer acquisition efficiency. The retail sector is experiencing rapid digital transformation acceleration, driving demand for data scientists who can bridge business strategy with technical implementation. There's growing emphasis on sustainable retail practices and ESG metrics integration into business analytics frameworks.

Salary Evaluation

The salary range of $121,900 - $161,600 is competitive for an entry-level data scientist position in San Francisco's high-cost market. This range positions Gap Inc. in the 75th percentile for retail industry data science compensation, reflecting the company's investment in analytics talent and the strategic importance of the role to business operations.

Role Significance

The role operates within Gap Inc.'s Analytics and Customer Data Science team, likely comprising 8-15 data professionals including senior data scientists, analysts, and data engineers. The team structure supports collaborative project work while maintaining individual accountability for brand-specific initiatives.
This is a mid-junior level individual contributor role with high visibility to senior leadership, offering significant influence on strategic business decisions across multiple billion-dollar brands. The position provides direct exposure to C-level executives and serves as a key analytical resource for brand leadership teams.

Key Projects

Customer lifetime value modeling and optimization across Old Navy, Gap, Banana Republic, and Athleta brand portfolios Multi-channel attribution analysis to improve marketing spend efficiency and customer acquisition strategies Advanced customer segmentation and personalization engines to enhance cross-selling and retention programs Predictive analytics models for inventory optimization and demand forecasting across seasonal collections A/B testing frameworks for digital experience optimization and conversion rate improvement initiatives

Success Factors

Ability to translate complex analytical findings into compelling business narratives that drive executive decision-making, requiring strong communication skills and business intuition to influence senior leadership across multiple brands Proficiency in managing large-scale data integration projects across Gap Inc.'s diverse technology ecosystem, demonstrating technical versatility and problem-solving capabilities in complex retail data environments Deep understanding of retail customer behavior patterns and multi-channel shopping journeys, enabling development of insights that directly impact customer experience and revenue generation across four distinct brand identities Collaborative leadership skills to work effectively across cross-functional teams including marketing, merchandising, and operations while maintaining analytical rigor and delivering actionable recommendations under tight business timelines

Market Demand

High demand exists for retail-focused data scientists who can combine technical analytics skills with business acumen. The market shows strong growth trajectory for professionals who understand customer analytics, multi-channel attribution, and retail operational metrics.

Important Skills

Critical Skills

SQL proficiency is absolutely essential as it serves as the primary tool for accessing and manipulating Gap Inc.'s extensive customer and transactional databases across multiple brands and channels. The ability to write complex queries and optimize performance for large-scale retail datasets directly impacts the speed and accuracy of analytical deliverables. Business acumen combined with analytical thinking represents the core competency that distinguishes successful retail data scientists. This skill enables translation of complex statistical findings into actionable business strategies that senior leadership can implement to drive revenue growth and customer satisfaction improvements. Data visualization and presentation skills are crucial for communicating analytical insights to diverse stakeholders including executive leadership, marketing teams, and operational managers. The ability to create compelling visual narratives determines the adoption and impact of analytical recommendations across the organization.

Beneficial Skills

Python or R programming skills enhance analytical capabilities and enable more sophisticated statistical modeling and machine learning implementations that can drive advanced customer segmentation and predictive analytics initiatives Experience with cloud-based data platforms and modern data engineering tools supports Gap Inc.'s continued technology modernization and positions the analyst for leadership roles in enterprise analytics architecture decisions Digital marketing analytics expertise provides deeper understanding of customer acquisition funnels and attribution modeling, enabling more effective optimization of Gap Inc.'s significant digital advertising investments across multiple brand portfolios

Unique Aspects

Direct exposure to senior leadership across four distinct retail brands, providing rare opportunity to understand diverse customer segments and brand positioning strategies within a single organization
Access to Gap Inc.'s comprehensive multi-channel dataset spanning e-commerce, mobile, and physical retail operations across global markets, offering rich analytical opportunities not available at single-brand retailers
Integration with Gap Inc.'s digital transformation initiatives and omnichannel strategy development, positioning the role at the forefront of retail industry evolution
Opportunity to influence sustainability and ESG analytics integration, aligning with Gap Inc.'s commitment to responsible business practices and environmental stewardship

Career Growth

Career progression typically occurs within 2-4 years for high-performing individuals, with opportunities for advancement accelerated by successful delivery of high-impact analytical projects and demonstrated business influence.

Potential Next Roles

Senior Data Scientist with expanded responsibility for model development and team mentorship within Gap Inc.'s analytics organization Data Science Manager overseeing analytical initiatives for specific brands or customer segments Principal Data Scientist leading enterprise-wide analytics strategy and advanced machine learning implementations Business Intelligence Director managing data-driven decision making across retail operations

Company Overview

Gap Inc.

Gap Inc. operates as one of the world's largest specialty retail companies with a portfolio of globally recognized brands including Old Navy, Gap, Banana Republic, and Athleta. The company has undergone significant digital transformation initiatives and maintains a strong focus on data-driven decision making to optimize customer experience across its multi-billion dollar retail operations.

Gap Inc. holds a prominent position in the global retail market as a Fortune 500 company with extensive international presence and strong brand recognition. The company has been investing heavily in analytics and digital capabilities to maintain competitive advantage in the rapidly evolving retail landscape.
The San Francisco headquarters location positions this role at the center of Gap Inc.'s strategic operations and provides access to Silicon Valley's technology ecosystem. This location offers significant networking opportunities and exposure to cutting-edge retail technology innovations.
Gap Inc. promotes an inclusive, collaborative work environment that emphasizes individual contribution to collective success. The company's commitment to diversity, sustainability, and social responsibility creates a purpose-driven culture that attracts professionals seeking meaningful impact beyond traditional business metrics.
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