Stripe

Help increase the GDP of the internet.

Data Science Manager

Full TimeRemoteTeam 1,001-5,000Since 2010H1B SponsorCompany SiteLinkedIn

Location

New York + 1 moreAll locations: New York, Washington

Posted

9 days ago

Salary

Not specified

Postgraduate Degree10 yrs expEnglish

Job Description

• 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.

Job 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

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