Data Scientist, Experimental Projects

Posted

StripeSan FranciscoHybridfull_timesenior

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Use data to identify, evaluate, and shape new product opportunities.
  • Partner with engineers and product managers to build and test early product concepts.
  • Develop analyses, models, experiments, and prototypes that help the team learn quickly.
  • Define success measures for new ideas and assess whether early results support further investment.
  • Communicate findings clearly, including uncertainty, tradeoffs, and recommended next steps.

Soft Skills

Causal InferenceExperimentationProduct AnalyticsCross-Functional CollaborationStakeholder ManagementStatistical Modeling

Benefits

  • Hybrid Work

Culture

Cross-Functional TeamsStartup EnergyFast-Paced

Requirements

Required: PhD with 3+ years, MS/MA with 6+ years, or BS/BA with 8+ years in a quantitative field
Preferred: PhD or MS in a quantitative field, such as statistics, engineering, mathematics, economics, quantitative finance, science, or operations research
Regions: Us

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About Stripe
Industry: fintech
Size: enterprise

Stripe is a financial infrastructure platform for businesses that helps millions of companies accept payments, grow revenue, and accelerate new business opportunities.

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