Data Science Manager
Stripe
full-time
Posted on:
Location Type: Remote
Location: New York • Washington • United States
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About the role
- 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
- A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
- 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 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.
- 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
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningtime series forecastingpredictive modelingoptimizationdata designscalable data architecturesmetrics designdata productstechnical excellence
Soft Skills
leadershipcommunicationcross-functional collaborationdecision makingautonomyresponsibilityinclusivitysupportive work environmentengagementteam management
Certifications
PhDMSBS