Data Scientist II: Drive Growth with Insights

Gap Inc; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Gap Inc.’s Data Science team leads analyses across customer acquisition, product performance, and omnichannel behavior, turning data into measurable business impact. The role requires analytical rigor, business acumen, data storytelling, and strong stakeholder management.

You will structure ambiguous questions, connect data sources, and translate insights into actionable recommendations. Expect collaboration with product, engineering, and marketing to drive growth and improve decision-making

Qualifications

• 5+ years of experience in data science or analytics.
• Experience leading complex analytical projects end-to-end.
• Strong SQL skills with large datasets.
• Proficiency in Python or R and Spark.
• Excellent written and verbal communication.
• Ability to interact with senior stakeholders.

Responsibilities

• Lead end-to-end analytical projects from framing complex business questions to delivering actionable recommendations.
• Analyze large customer, transaction, product, and engagement datasets to identify growth opportunities and drivers.
• Translate complex findings into concise, executive-ready narratives that communicate impact and actions.
• Develop customer and product analytics including segmentation, funnel, and cohort analyses.
• Integrate internal data with external sources to build a holistic view of customer and business.
• Apply statistical, predictive, causal, and ML techniques to improve decision-making.
• Develop scalable analytical frameworks, reusable datasets, and automated processes.

Skills

SQL

Python

R

Spark

Big data

Communication

Independent work

Stakeholder management

Data storytelling

Education

Bachelor’s degree in a quantitative field

Tools

Spark

Cloud platforms

Job description

Gap Inc.’s Data Science team leads analyses across customer acquisition, product performance, and omnichannel behavior, turning data into measurable business impact. The role requires analytical rigor, business acumen, data storytelling, and strong stakeholder management.

You will structure ambiguous questions, connect data sources, and translate insights into actionable recommendations. Expect collaboration with product, engineering, and marketing to drive growth and improve decision-making