Data Scientist, Fraud
StripePayments company
Toronto, CanadaMid
Andreessen Horowitz
Sequoia Capital
Thrive Capital
Founders Fund
Peter Thiel
Elon Musk
Data & AI
About the role
TL;DR
Build and improve fraud detection models, collaborate with teams, and use data to shape fraud strategy.
- •Stripe is seeking a Data Scientist to join their Fraud Data Science team.
- •This role involves building and enhancing models for fraud detection and loss management, collaborating with engineering and operations teams, and leveraging data to inform fraud strategy.
- •Key Responsibilities Build and improve models for fraud detection and loss management systems.
- •Work closely with Fraud Engineering and Risk Operations to deploy models into production.
- •Utilize data to generate insights that shape fraud strategy across the business.
- •Apply machine learning, statistical modeling, causal inference, optimization, and experimentation to complex risk problems.
- •Requirements PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience.
- •Experience with Fraud, Risk, or Financial Crimes.
- •Proficiency in SQL and a computing language such as Python or R.
- •Experience working with cross-functional teams to deliver results.
- •Ability to communicate results clearly and a focus on driving impact.
Required skills
SQLPythonscikit-learnPandasNumPy
Nice-to-have skills
RTensorFlowPyTorchSpark
Domain expertise
fintech
Tech stack
SQLPythonRPandasNumPyscikit-learnTensorFlowPyTorchSpark