Starbucks
A Senior Data Scientist on the Supply Chain Data Science team at Starbucks uses advanced analytics and machine learning to solve complex supply chain problems and improve planning and operations. The role involves owning data science solutions end-to-end, from understanding business problems to building production-quality code and scalable data pipelines. This position requires partnering with cross-functional teams to translate complex problems into scalable data science solutions and measurable business impact.
Headquarters
Seattle, Washington, United States
Company Size
10001+ employees
Founded
1971
Starbucks Coffee Company is a global coffeehouse chain and consumer packaged goods company that operates thousands of company‑owned and licensed stores offering handcrafted espresso beverages, brewed coffee, tea, pastries and light meals. It also sells packaged whole‑bean and ready‑to‑drink coffees and merchandise through its stores and retail partners. Starbucks emphasizes digital convenience via the Starbucks® Rewards program, mobile order & pay and gift card management, while promoting ethical sourcing and sustainability through programs like C.A.F.E. Practices and other environmental and community initiatives. The brand is known for its seasonal menus, consistent in‑store experience, and premium specialty‑coffee positioning.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Starbucks.
Starbucks didn’t post a salary, so this is our estimate from similar listings.