Data Scientist, Link
StripePayments company
Toronto, CanadaSenior
Andreessen Horowitz
Sequoia Capital
Thrive Capital
Founders Fund
Peter Thiel
Elon Musk
Data & AI
About the role
TL;DR
Data Scientist to optimize Stripe's Link product using data analysis and machine learning.
- •Stripe is seeking Data Scientists to partner with product and engineering teams to build models, data products, and insights that drive decision-making and responsible growth.
- •This role will focus on optimizing Stripe's Link product, a one-click checkout solution trusted by over 300 million users.
- •Key Responsibilities Analyze data to identify friction points and improve product performance.
- •Build and deploy machine learning and statistical models.
- •Design, run, and analyze complex experiments and causal inference studies.
- •Collaborate with cross-functional teams to deliver impactful results.
- •Synthesize complex analyses into actionable recommendations for business strategy.
- •Requirements PhD with 3+ years, MS with 6+ years, or BS with 8+ years of data science or quantitative modeling experience. 3+ years in Product Analytics, Experimentation, and Causal Inference.
- •Proficiency in SQL and Python.
- •Experience communicating results clearly and driving impact.
- •Proficiency with AI tools to accelerate model development, analysis, and coding.
Required skills
PythonSQLProduct Analytics
Nice-to-have skills
Spark
Domain expertise
fintechecommerce
Tech stack
PythonSQL