Data Science Manager, Growth
Lead and manage a team of data scientists focused on finance and strategy initiatives. Drive roadmap, mentor team members, and partner cross-functionally to deliver scalable ML systems and data products.
About the job
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
- 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 in speech.
- Thrive on a high level of autonomy and responsibility.
- Foster a healthy, inclusive, challenging, and supportive work environment.
Nice-to-Haves
- A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
- Comfortable working with geographically distributed teams.
- Expertise in time series forecasting, predictive modeling, or optimization
- Expertise in data design and building scalable data architectures
Skills
Machine Learning, Data Science, Metrics Design, Predictive Modeling, Time Series Forecasting, Optimization, Data Architecture, Cross-Functional Collaboration, Team Leadership, Stakeholder Management
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