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Stripe

Data Scientist

N/A · 4d ago

Not specified3+ YOE

Quick summary

AI parsed
Experience
PhD + 3 years, MS/MA + 6 years, or BS/BA + 8 years of data science/quantitative modeling experience. Skills: SQL, Python or R, machine learning, statistics, optimization, product analytics, causal inference, experimentation

Responsibilities

  • Partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams to optimize systems and make strategic business decisions
  • Build machine learning and statistical models, run experiments, and develop data products to drive impact
  • Synthesize complex analyses into actionable recommendations and communicate results clearly to cross-functional stakeholders
  • Deploy models in production and leverage techniques like causal inference, optimization, and experimentation to ensure smart use of data

Full description

<div class="ace-line gutter-author-p-118095 emptyGutter"> <h2><strong>About Stripe</strong></h2> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doin…