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Senior Analyst Data Science
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
Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and implementation of sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to rigorously measure causal impacts on key performance indicators, leveraging robust statistical techniques, including difference‑in‑differences and regression analysis, while conducting comprehensive sensitivity analyses and producing actionable insights. Develop End to End simulation pipelines to accurately and realistically mimic business phenomenon and deploy the simulation to measure model performance. Develop data validation and visualization dashboards to lead model validation and adoptions collaborations with functional stakeholders. Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics recommendations.
Salary Range: $169,240 - $222,100
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
What You’ll Do
- Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies;
- Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales fluctuations;
- Hands on experience in at least two of the following areas: Inventory Optimization, Promo & Markdown Optimization, and Fulfillment Optimization;
- Design and implement experimentation and simulation methods with variance‑reduction techniques and apply them to analyze stochastic systems (e.g. queues, inventory models) for estimating performance measures and making data‑driven decisions; and
- SQL, Python Programming Language, PowerBI or Tableau, ML & Data Science Libraries like Scikit, Tensorflow, Pytorch.
Who You Are
Master’s degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field and three (3) years of experience in Data science or in the job offered or a related role.
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.
