Data Science Manager, Growth · Stripe

Fri, 24 Apr 2026 12:02:15 GMT
Engineering

Stripe · Seattle, WA OR New York, NY OR Remote North America · remote

Job Description

We're looking for a Data Science Manager to join our Growth Data Science team at Stripe. As a Data Science Manager, you will be responsible for the success of your team, driving the roadmap and priorities, and working with stakeholders across the organization.

Responsibilities

Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.

Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.

Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.

Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.

Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.

Contribute to broad data science initiatives as a member of Stripe's data science management team.

Requirements

A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, 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 about architecture and strategic modeling decisions.

Managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.

Work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.

Clear and persuasive communication skills in writing and verbally.

Thrive on a high level of autonomy and responsibility.

Foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Requirements

Comfortable working with geographically distributed teams.

Expertise in time series forecasting, predictive modeling, or optimization.

Expertise in data design and building scalable data architectures.