PhD Data Scientist, Intern

Job summary

Responsibilities

As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates.

• Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes
• Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference…
• Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection
• Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions
• Identifying structural patterns, clusters, and outliers in unlabeled data

What they're looking for

• Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences.
• Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
• Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly…
• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
• Experience with SQL and a scientific computing language (such as Python, R, etc.)

Tech stack

• Python
• SQL
• Spark