Stripe is a financial infrastructure platform for businesses.
The Finance and Strategy Data Science team builds forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business.
Responsibilities
Drive the roadmap and priorities for your team and work with Stripe leaders to enhance data-driven decision making.
Collaborate with stakeholders across engineering, analytics, operations, finance, and marketing.
Lead and manage processes to help the team do its best work.
Manage a high-performing team of data scientists, supporting technical excellence and career growth.
Recruit and onboard data scientists.
Contribute to broad data science initiatives as part of the data science management team.
Requirements
PhD, MS, or BS in a quantitative field (Statistics, Operations Research, Economics, Computer Science, Engineering).
3+ years of direct management experience leading data science or ML teams, 10 years of overall data science experience.
Expertise in designing metrics and guiding business decisions with data.
Technical expertise in architecture and strategic modeling decisions.
Experience managing teams that built and shipped ML systems and data products at scale.
Strong cross-functional collaboration and communication skills.
Preferred: experience with geographically distributed teams, time series forecasting, predictive modeling, optimization, scalable data architectures.