Drive impactful data insights as a Data Scientist focused on the Link product at Stripe. Collaborate across teams to analyze data, optimize user experiences, and enhance local payment methods. As a vital player in our Data Science team, you'll influence product features for the Link consumer experience.

Your role will involve applying machine learning, statistical modeling, and experimentation to address friction points and enhance transaction methods globally. The goal is to maximize user engagement and optimize merchant conversions through smart data utilization. Key Responsibilities:
Analyze data to inform local payment method strategies
Run experiments and assess results for product improvement




Collaborate with cross-functional teams for strategic insights
Utilize SQL and Python to extract actionable data
Communicate findings effectively to drive business impact

Requirements:
PhD with 3+ years’ or MS/MA with 6+ years’ experience
3+ years in product analytics and causal inference
Proficient in SQL and Python programming
Solid attention to detail and project management skills
Experience in translating complex analyses into recommendations

Leverage your data expertise to shape the future of consumer payments at Stripe.

📌 Data Scientist For Link At Stripe Toronto (Canada)
🏢 Stripe
📍 Canada