Data Scientist, Stripe

• We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact
• PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
• Proficiency with AI tools to accelerate model development, analysis, and coding
• You're encouraged to apply even if your experience doesn't precisely match the job description

Desirable

• We’re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams
• You’ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions
• As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics
• Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly
• Our work is broad and varied, influencing how our products work (e.g. , understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between
• We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background