Stripe is hiring a
Data Science Manager

Summary

Join Stripe as a Data Science Manager to lead the success of your team, drive efficient data science teams, and communicate effectively across teams and senior leadership.

Requirements

• You have at least 3 years of direct management experience leading data science and ML teams, and 10 years of overall data science experience
• You have 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 verbally
• You thrive on a high level of autonomy and responsibility
• You foster a healthy, inclusive, challenging, and supportive work environment

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

Preferred Qualifications

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