Stripe, Inc. logo

Data Science Manager

Job Overview

Location

Seattle, WA OR New York, NY OR Remote North America

Job Type

Full-time

Category

Data Science

Date Posted

April 14, 2026

Full Job Description

šŸ“‹ Description

  • • As a Data Science Manager at Stripe, you will lead a high-performing team responsible for driving data-driven decision-making across critical financial infrastructure products like Embedded Finance (Capital, Issuing) and Connect, directly impacting how businesses globally accept payments, grow revenue, and scale operations.
  • • Day to day, you will drive team roadmaps and priorities, collaborate cross-functionally with engineering, product, risk, marketing, and ops stakeholders, manage and mentor data scientists, recruit top talent, and contribute to company-wide data science initiatives while staying hands-on in modeling and technical design.
  • • You’ll join Stripe’s MaaS (ā€œMoney as a Serviceā€) or Growth Data Science teams, which are central to powering money movement, platform solutions, and user growth for some of the world’s most innovative companies, operating at the intersection of finance, technology, and scalable data systems.
  • • In this role, you will deepen your leadership expertise in scaling data science organizations, advance your technical impact through ML systems and data products at scale, and shape Stripe’s data strategy while fostering an inclusive, high-performance culture that supports both business outcomes and team growth.

šŸŽÆ Requirements

  • • A PhD, MS, or BS in a quantitative field such as Statistics, Operations Research, Economics, Computer Science, or Engineering.
  • • At least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
  • • Demonstrated expertise in designing metrics and guiding business decisions with data.
  • • Technical expertise to drive clarity with staff and senior scientists on architecture and strategic modeling decisions.
  • • Experience managing teams that have built and shipped machine learning systems and data products at scale, with hands-on experience solving challenging problems.
  • • Strong cross-functional collaboration skills, rigorous decision-making ability, and comfort with autonomy and responsibility.
  • • Clear and persuasive communication skills in writing and verbally.
  • • Commitment to fostering a healthy, inclusive, challenging, and supportive work environment.

šŸ–ļø Benefits

  • • Opportunity to work on high-impact financial infrastructure used by millions of businesses worldwide, from startups to Fortune 500 companies.
  • • Flexibility to work from Seattle, WA, New York, NY, or remotely anywhere in North America.
  • • Access to Stripe’s mission-driven culture focused on increasing the GDP of the internet and enabling global economic participation.
  • • Collaboration with world-class teams across product, engineering, risk, marketing, and strategy to solve complex, real-world problems.
  • • Investment in professional growth through mentorship, leadership development, and involvement in broad data science initiatives.
  • • Support for innovation and experimentation, including access to cutting-edge tools and resources for ML and data science at scale.

Skills & Technologies

REST
Remote
Degree Required

Ready to Apply?

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Stripe, Inc. logo
Stripe, Inc.
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About Stripe, Inc.

Stripe operates a global financial infrastructure platform that provides online payment processing, fraud prevention, billing, issuing, treasury, and capital services for businesses of all sizes. Its APIs and software enable merchants to accept card payments, manage subscriptions, send payouts, and build embedded finance products. Founded in 2010, the company serves millions of companies across 40+ countries, handling authorization, settlement, and currency conversion while maintaining compliance, security, and regulatory standards. Stripe also offers tools for marketplaces, platforms, and SaaS providers to integrate financial services into their applications.

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