Data Science Manager, Finance and Strategy

Stripe; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Stripe is seeking a Data Science Manager to lead a team of data scientists, analysts, and engineers focused on forecasting models, data infrastructure, and analytics to inform strategic decisions. You will drive the team roadmap, mentor staff, collaborate across engineering, analytics, and finance, and recruit top talent to advance Stripe's data-driven approach.

This role emphasizes autonomy, strong communication, and building scalable data solutions that power Stripe's growth and financial

Qualifications

• Minimum 3 years of direct management of data science or ML teams.
• 10+ years in data science overall.
• Track record of designing metrics to guide business decisions.
• Technical leadership to guide architecture and modeling decisions.
• Experience building and shipping ML systems at scale.
• Strong cross-functional collaboration and decision-making.
• Excellent written and verbal communication.

Responsibilities

• Drive the roadmap and priorities for your team, and work with Stripe leaders to be data-driven.
• Collaborate with engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage with Stripe.
• Manage a high-performing data science team and advance in their careers.
• Recruit and onboard data scientists in collaboration with Stripe’s recruiting team.
• Contribute to broad data science initiatives as part of Stripe’s data science management team.

Skills

People management

Data science

Metrics design

Technical leadership

ML systems

Cross-functional collaboration

Communication

Education

PhD or MS in quantitative field

Job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe’s entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

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.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You’ve demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and in speech.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred qualifications

• A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
• You’re comfortable working with geographically distributed teams.
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures