Stripe
A Data Scientist at Stripe works within the Data Science organization to advance the company’s financial infrastructure by producing quantitative insights and data products. The role supports cross-functional teams across payments, risk, finance, growth, and product to inform strategy and decision-making. It contributes to Stripe’s mission to increase the GDP of the internet by applying rigorous statistical and machine learning approaches to large-scale problems.
Headquarters
South San Francisco, California, United States
Company Size
1001-5000 employees
Founded
2010
Stripe is a financial infrastructure platform that provides a suite of APIs and tools to power online and in-person payments and commerce for internet businesses of all sizes. Its product set includes payment processing, billing and subscriptions, marketplace payouts, fraud prevention, card issuing, tax and reporting, and global payment method and currency support. Developers and companies choose Stripe for its clean APIs, extensive documentation, and integrated compliance and developer tooling. Stripe also offers advanced capabilities — including AI-driven features, treasury and embedded-finance tools — to help businesses scale and grow revenue.
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 Stripe.
Stripe didn’t post a salary, so this is our estimate from similar listings.
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