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. Key skills: SQL, Python or R, machine learning, statistics, optimization, product analytics, causal inference, experimentation, cross-functional collaboration

Responsibilities

Partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams to optimize systems and drive strategic business decisions using data
Build machine learning and statistical models, run experiments, and develop data products to influence product functionality and business operations
Apply techniques including machine learning, statistical modeling, causal inference, optimization, and experimentation to leverage Stripe's rich data
Communicate complex analyses clearly and synthesize results into actionable recommendations with a focus on driving impact

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…