Data Scientist (New Grad)

About This Role

Stripe is hiring a New Grad Data Scientist to work on fraud detection, payments analytics, revenue optimization, or developer adoption. You will analyze transaction data from millions of businesses and trillions of dollars in annual payment volume to help Stripe build the economic infrastructure of the internet.

Job Overview

• Job Title: Data Scientist (New Grad)
• Company: Stripe
• Location: San Francisco, CA / Seattle, WA / New York, NY / Chicago, IL / Austin, TX (Remote eligible)
• Job Type: Full-time
• Experience Level: Entry-level (0–2 years)
• Salary Range: $44–$60/hr
• Posted Date: 2026-06-04
• Application Deadline: 2026-07-04

Role Context

Stripe data scientists work directly in product or fraud engineering teams with high autonomy and direct impact on revenue and trust. The fraud science team applies ML to detect fraudulent transactions in real time; the payments analytics team builds models that inform pricing, product, and go-to-market decisions. Teams are small, output-oriented, and operate with a high degree of intellectual rigor.

Key Responsibilities

• Analyze transaction, dispute, and developer usage data to surface business insights
• Build ML classifiers for fraud detection, risk scoring, or payment routing optimization
• Design A/B experiments and interpret results to inform product and pricing decisions
• Develop Python and SQL pipelines on Stripe's data infrastructure
• Build dashboards for payments volume, fraud rates, and developer health metrics
• Partner with engineering to deploy models into Stripe's real-time decisioning systems

Requirements & Skills

• Bachelor's or Master's in Statistics, Computer Science, Mathematics, or related quantitative field
• Strong Python and SQL skills for large-scale transactional data analysis
• Familiarity with classification models, anomaly detection, or survival analysis
• Understanding of financial fraud, payment systems, or developer APIs is a plus
• Comfortable working independently with minimal process overhead
• Clear written communicator — Stripe is a writing-first culture

Benefits & Work Conditions

• $44–$60/hr with Stripe equity and annual bonus
• Remote-first with optional office access in hub cities
• Home office stipend ($1,000 setup + $400/month for remote employees)
• Comprehensive health, dental, and vision insurance
• Flexible PTO, generous parental leave, and 401(k) with match

Who Should Apply

Graduates who are rigorous, self-directed, and excited about financial infrastructure. Stripe rewards people who write clearly, think carefully, and build things that work at scale. If you are drawn to fraud science or payments analytics and want to work on data that has immediate financial consequences, this is a compelling role.

About the Company

Stripe is a global financial technology company that processes hundreds of billions in transactions annually for millions of businesses — from early-stage startups to Amazon and Google. Its data science and ML teams build the fraud, risk, and analytics systems that make the global payments network more reliable and accessible.

How to Apply

Apply through Stripe Jobs. Search "data science" and select new grad or entry-level filters. The interview process includes a Python/SQL technical screen, a data take-home case, and a final loop of analytical, product-sense, and behavioral interviews.