Stripe
PhD Data Scientist, Intern
New York, Seattle, South San Francisco HQ +3 · Internship · Posted Oct 1, 2026
- Location
- New York, Seattle, South San Francisco HQ
New York, New York, United States
Seattle, Washington, United States
San Francisco, California, United States - Education
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.); expected to graduate in December 2027 or spring/summer 2028.
About the job
Build and evaluate data science models, analyses, experiments, and data products that support Stripe’s fraud, financial crime, and business decisions.
What you'll do
- Use statistical methods, machine learning, and causal inference to analyze data and evaluate outcomes.
- Build, evaluate, and deploy predictive models; analyze time-series and unlabeled data.
- Create and analyze datasets with SQL and Spark, and communicate findings and recommendations to partner teams.
What they ask for
- Enrolled in a quantitative PhD program, with expected graduation in December 2027 or spring/summer 2028.
- Experience with SQL and a scientific computing language such as Python or R.
- Proficiency with AI tools to accelerate model development, analysis, and coding.
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.
Nice to have
- Experience writing and debugging data pipelines.
- Experience receiving and evaluating feedback through internships or other multi-person projects.
Tools
Python, R, SQL, Spark
AI focus
Use AI tools to accelerate model development, analysis, and coding.
Model-written summary · the original posting is authoritative