PhD Data Scientist Intern — Fraud & Risk Analytics

Stripe, Inc.; New York (NY); On-site; USD 34,000 - 55,000; Full time

Job summary

Stripe in New York, NY is seeking a Data Science intern to work on projects across our stack that directly affect how millions of businesses operate. You’ll own problems end to end with support from your manager and teammates.

You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business, delivering actionable recommendations through analyses and data storytelling. This competitive internship offers exposure to real-world impact within a leading fintech.

Qualifications

• Enrolled in a quantitative PhD program 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.).
• Proficiency with AI tools to accelerate model development, analysis, and coding.
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.

Responsibilities

• Work on projects across our stack that directly impact the way millions of businesses operate.
• Own problems end to end with the support of your manager and teammates.
• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
• Deliver actionable business recommendations through analyses and data storytelling.
• Collaborate with partners to extract insights from the rich and complex data at Stripe.
• Present your work to the Data Science team, partner teams, and fellow interns.

Skills

SQL

Python

R

AI tools

Education

Quantitative PhD program

Tools

Spark

Job description

Stripe in New York, NY is seeking a Data Science intern to work on projects across our stack that directly affect how millions of businesses operate. You’ll own problems end to end with support from your manager and teammates.

You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business, delivering actionable recommendations through analyses and data storytelling. This competitive internship offers exposure to real-world impact within a leading fintech.