Sr. Data Scientist, MarTech

Sr. Data Scientist, Mar Tech at Gap Inc.

Overview

Gap Inc. bridges gaps in the world by providing inclusive, sustainable fashion through brands like Old Navy, Athleta, Banana Republic, and Gap. The company focuses on belonging, innovation, and responsible practices.

About

The Role

The Martech Data Science Team applies AI and machine learning to create personalized customer experiences and optimize marketing for Gap Inc. and its brands. Responsibilities include building predictive models, developing AI solutions, and collaborating across engineering, product, and marketing to integrate models into live campaigns.

What You’ll Do

• Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources.

• Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare reliable data pipelines and shared feature sets for various modeling protocols.

• Build, validate, and maintain AI (Machine Learning / Deep Learning) models, diagnose and optimize performance, and develop statistical models and analysis for ad‑hoc business‑focused questions.

• Design and execute structured experimentation and testing (e.g., A/B tests, multivariate tests, RL/bandit experiments) to measure incremental impact, refine models, and continuously improve marketing strategies across brands and channels.

• Communicate meaningful, actionable insights and model outputs to stakeholders, translating them into clear go‑to‑market recommendations that influence campaign design, offer strategy, contact strategy, and customer experience.

• Build cross‑functional partnerships and consensus with engineering, product management, central marketing, and brand strategy teams to integrate models into marketing campaigns, journeys, and agentic AI workflows at scale.

• Influence strategy for the Martech Data Science team, including migration and modernization of models on GCP, accelerating agentic AI–driven decisioning, and strengthening a rigorous test‑and‑learn culture across campaigns and customer experiences.

Who You Are

• Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for end‑to‑end pipeline development; advanced SQL skills in both on‑prem and cloud environments such as Azure and GCP.

• Experience with ML and classical predictive techniques such as logistic regression, decision trees, non‑linear regressions, ANN/CNN, boosted trees, SVM, Tensor Flow, and visualization packages; familiarity with reinforcement learning / bandit methods and uplift / causal modeling is a strong plus.

• Ability to work both at a detailed level (data wrangling, feature engineering, model diagnostics) and summarize findings to make strong recommendations for change, explicitly linking models and tests to incremental revenue, margin, customer LTV, and contact efficiency.

• Strong collaboration skills with cross‑functional teams, enabling product and analytics roadmaps and operationalizing models into campaigns, journeys, and orchestration platforms.

• Analytical judgment to assess complex situations, recommend solutions, and balance short‑term performance vs. long‑term customer value, navigating trade‑offs across revenue, profitability, customer experience, and contact pressure.

Benefits at Gap Inc.

• Merchandise discount: 50% off regular‑priced merchandise at Old Navy, Gap, Banana Republic, and Athleta; 30% off at Outlet for all employees.

• Competitive paid time off plans.

• Five “on‑the‑clock” volunteer hours per month at a charity of your choice.

• Extensive 401(k) plan with company matching up to 4% of base pay.

• Employee stock purchase plan.

• Medical, dental, vision, and life insurance.

• Additional benefits listed on our website.

Equal‑Opportunity Statement

Gap Inc. is an equal‑opportunity employer and is committed to providing a workplace free from harassment and discrimination. We recruit, hire, train, and promote qualified people of all backgrounds and make all employment decisions without regard to any protected status.

Salary Range

Salary Range: $181,400 – $235,800 USD. Employee pay will vary based on qualifications, experience, skill level, competencies, and work location. A minimum of the pay range (or higher) will be met based on city, county, and state requirements.

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