Data Science Manager, Payments Infrastructure and Optimization San Francisco

Understand, predict, and optimize Stripe’s core payments systems and products

At Stripe, data science managers grow teams and inspire them to contribute rigorous work that shapes our decisions and products. We’re looking for an experienced data science manager to work with our Payments Infrastructure and Optimization group – engineering teams that are responsible for our core payments systems and products.

You will:

  • Partner closely with Payments Infrastructure product and engineering teams to identify and prioritize the most important data science projects
  • Lead a team of data scientists and analysts to:
    • Understand/influence our payments architecture, data models, instrumentation
    • Define and measure key outcome metrics
    • Improve payments infrastructure observability and anomaly detection
    • Optimize our payments product through experiments, analyses, machine learning
    • Prototype new data-powered product features
  • Recruit great data scientists and analysts, in collaboration with Stripe’s recruiting team
  • Develop data scientists and analysts on the team, helping them advance in their careers, providing them with continuous informal feedback

You’d ideally have:

  • 4+ years of industry data science experience; 1+ years of management experience
  • A PhD or MS in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering, CS)
  • Expert knowledge of a scientific computing language (such as R or Python) and SQL
  • Strong knowledge of statistics and experimental design
  • Ability to communicate results clearly and a focus on driving impact

You should include these in your application:

  • How you approach data science management
  • A resume and LinkedIn profile
  • Description of the most interesting data analysis you’ve done, key findings and its impact
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We look forward to hearing from you.

Apply now