The role involves partnering with Data Scientists and business partners to drive business impact through rigorous analytical solutions
Job Summary
The role involves partnering with Data Scientists and business partners to drive business impact through rigorous analytical solutions.
Interns will apply machine learning, causal inference, or advanced analytics on large datasets to predict future performance and identify causal impacts.
Stripe offers a dedicated mentor for each intern and ensures every project contributes directly to the company's mission of increasing the GDP of the internet.
Matching Summary
The role involves partnering with Data Scientists and business partners to drive business impact through rigorous analytical solutions.
Skills & Requirements
Must-have
Enrolled in quantitative PhD program
Experience with Python or R programming
Proficiency in SQL for data analysis
Knowledge of machine learning and statistics
Hands-on experience with causal inference
Nice-to-have
Experience writing and debugging data pipelines
Ability to evaluate feedback from mentors
Strong communication with multidisciplinary stakeholders
Independent research skills for system understanding
Key Requirements
PhD enrollment with graduation expected Winter 2026 or Spring/Summer 2027
Quantitative background in Data Science, Statistics, Economics, or Mathematics