Data Scientist, Payments

About the role

Stripe is seeking a Data Scientist to join the Local Payment Methods (LPM) team. You will help shape the strategy and growth of our LPM business by turning data into actionable insights and building predictive models.

Key responsibilities

• Partner with LPM engineering and product teams to define data‑driven strategies.
• Analyze user behavior, fraud patterns, and charge flows to improve product performance.
• Develop and deploy machine‑learning, statistical, and causal‑inference models.
• Design and run experiments to measure impact of product changes.
• Provide forecasting, liquidity management, and risk‑exposure analyses for the business.

Required profile

• PhD, MSc/MA with at least 2 years or BS/BA with at least 3 years of data‑science or quantitative‑modeling experience.
• Proficiency in SQL and a programming language such as Python or R.
• Experience collaborating with cross‑functional teams and delivering results.
• Strong communication skills and ability to translate complex analyses into business recommendations.
• Demonstrated project‑management ability with high attention to detail.

Required skills

• SQL
• Python
• R
• Machine learning
• Statistics
• Optimization
• Causal inference
• Experimentation
• AI tools for model development