PhD Data Scientist Intern: Fraud & ML Analytics

Stripe; Chicago (IL); On-site; USD 40,000 - 65,000; Full time

Job summary

Stripe is seeking an intern for its Data Science team in Chicago to work on fraud, financial crime, and related risk modeling projects. You will collaborate with engineers and product teams to build data products, run experiments, and translate insights into actionable business recommendations.

The program emphasizes rigorous analysis, hands-on modeling, and the deployment of scalable data pipelines and dashboards across the Stripe platform.

Qualifications

• Enrolled in a quantitative PhD program with the expectation of graduating in 2027 or 2028
• Experience with SQL and a scientific computing language (Python or R)
• Proficiency with AI tools to accelerate model development, analysis, and coding
• Experience communicating and collaborating with multidisciplinary stakeholders

Responsibilities

• Apply probability distributions and hypothesis tests to quantify uncertainty and outcomes
• Use Python or R for data analysis, processing, visualizations, and modeling
• Build, train, and evaluate predictive models across regression and classification
• Model temporal dependencies and seasonality for time-series predictions
• Identify clusters and outliers in unlabeled data
• Deploy models in production and adjust thresholds for performance
• Design, run, and analyze complex experiments with causal designs
• Use SQL and Spark to transform and analyze large datasets
• Learn quickly and communicate status with mentor and team
• Present work to Data Science and partner teams

Skills

SQL

Python

R

Spark

Machine Learning

Data Analysis

Experimentation

Education

PhD student in Data Science/Statistics/Mathematics

Tools

Spark

Pandas

Scikit-learn

Job description

Stripe is seeking an intern for its Data Science team in Chicago to work on fraud, financial crime, and related risk modeling projects. You will collaborate with engineers and product teams to build data products, run experiments, and translate insights into actionable business recommendations.

The program emphasizes rigorous analysis, hands-on modeling, and the deployment of scalable data pipelines and dashboards across the Stripe platform.