Tech Stack
Responsibilities
- Using Python or R for data analysis, processing, visualizations, statistical modeling, machine learning, and experimental analyses
- Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes
- Building, training, and evaluating predictive regression and classification models
- Using SQL and Spark to create, transform, and analyze large datasets
- Presenting findings and project work to the Data Science team, partner teams, and fellow interns
Culture
Collaborative SpaceFast-PacedImpact-OrientedAutonomous Teams
Requirements
Required: PhD in quantitative field (Data Science, Statistics, Economics, Mathematics, etc.)
Regions: Us
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About Stripe
Industry: fintech
Size: large
Stripe is a financial infrastructure platform for businesses, helping companies of all sizes accept payments, grow revenue, and accelerate new opportunities.
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