Stripe is hiring a remote Manager!
Stripe, a financial infrastructure platform serving millions of businesses worldwide, is hiring a Data Science Manager for its Finance and Strategy Data Science team. This is a remote people-leadership role focused on the forecasting models, data infrastructure, and analytics tooling that underpin how Stripe measures and plans its business — from hierarchical time series and agentic forecasting tools predicting payment volumes and revenue margins to the governed metrics platform powering company-wide dashboards and executive reporting. The manager pairs hands-on involvement in modeling and design with coaching and mentoring, partnering closely with Finance and Strategy, go-to-market, product, analytics, and engineering stakeholders to inform financial decisions across the company.
Key responsibilities
- Set the roadmap and priorities for the team and work with leaders across Stripe to strengthen company-wide data-driven decision making
- Partner with stakeholders in engineering, analytics, operations, finance, and marketing
- Lead and manage team processes so data scientists can do their best work and engage effectively with the rest of the organization
- Coach and develop a high-performing team of data scientists toward technical excellence and career growth
- Recruit and onboard data scientists alongside Stripe's recruiting team
- Contribute to broader data science initiatives as part of Stripe's data science management group
Key requirements
- 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, plus 10 years of overall data science experience
- Demonstrated expertise designing metrics and guiding business decisions with data
- Technical depth sufficient to drive clarity with staff and senior scientists on architecture and strategic modeling decisions
- Experience managing teams that built and shipped ML systems and data products at scale, with hands-on problem-solving background
- Strong cross-functional collaboration, rigorous thinking, and comfort making difficult tradeoffs
- Clear, persuasive written and verbal communication skills
- Comfort operating with high autonomy and responsibility, and a track record of fostering inclusive, supportive teams
- Preferred: experience with distributed teams, time series forecasting, predictive modeling, or optimization, and scalable data architecture design
- Seniority: Manager
- Work mode: Remote
- Key skills: data science management, machine learning, forecasting, time series forecasting, predictive modeling, optimization, metrics design, data architecture, stakeholder management, people leadership, recruiting, communication
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