PhD Data Scientist, Intern
Core
PhD intern building predictive models, data pipelines, and experiments to protect Stripe from fraud and financial crime.
Role type
PhD Data Science Intern (Fraud & Financial Crime)
Builds
Fraud detection models, loss estimation systems, and data products for financial integrity
Domain
Fintech / Financial Crime / Risk Modeling
Deliverable
production ML models
Required skills
Statistical inference, Python, SQL, Machine Learning, Time-series analysis, Causal inference, Hypothesis testing, Data visualization
Preferred skills
Data pipeline debugging, Experimental design, Independent research
Technologies
Python, R, SQL, Spark
Responsibilities
Build and evaluate predictive models for fraud classification and loss estimation; Design and analyze complex experiments using causal inference; Create scalable data pipelines and dashboards to inform business decisions; Deploy models in production and adjust thresholds to improve performance; Present findings to cross-functional teams.
Seniority
Intern, research & implementation
