Enhance Stripe’s Link experience as a Data Scientist focused on payment analytics. Utilize data-driven insights to improve consumer payment methods and optimize product features.

In the Data Science team at Stripe, you’ll work on critical projects impacting user experience across various payment methods. Your role includes leveraging statistical modeling, causal inference, and machine learning to analyze user data and improve conversions. By engaging deeply with local payment needs, you will provide actionable insights that guide strategic initiatives for improving user engagement and satisfaction.

Key Responsibilities:



• Analyze and optimize local payment methods for global consumers • Conduct experiments and derive insights for product enhancements • Collaborate effectively to support cross-functional data needs • Utilize SQL and Python to analyze and present data • Drive actionable recommendations through clear communication

Requirements: • PhD with 3+ years’ or equivalent experience in data science • 3+ years in product analytics, experimentation, and causal inference • Proficient in SQL and Python programming languages • Solid detail orientation and project management abilities • Experience in translating data analyses into effective strategies

Utilize your analytical skills to advance Stripe’s mission in payments and consumer interactions. #J-18808-Ljbffr

📌 Data Scientist - Payment Analytics at Stripe (Toronto)
🏢 Stripe
📍 Toronto