Fraud Data Scientist

Stripe is the best software platform for running an internet business. We handle hundreds of billions of dollars every year for millions of businesses around the world. Risk is a dynamic space where we face ever-evolving challenges. An effective risk management plays a critical role in the company’s financial and partnership health. We rely heavily on data to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.

We’re looking for a talented data scientist to join the Data Science team to help us minimize fraud losses and abuse while preserving good user experience. If you are data curious, excited about deriving insights from data, and motivated by having an impact on the business, we want to hear from you.

In this role, you will:

• Act as an embedded partner to the Fraud Risk team, identifying and solving complex and ambiguous questions with data and modeling 
• Plan and execute with partner teams on fraud reduction initiatives
• Create metrics and dashboards for key performance indicators and deep dive to understand the drivers
• Build statistical and/or machine learning models to detect fraud and abuse at the Stripe ecosystem
• Design, conduct, and analyze experiments to quantify the impact of product and operation changes
• Contribute to fraud and abuse related incident response
• Optimize the tradeoff between fraud and abuse prevention vs good user experience

We’re looking for someone who has:

• 3+ years experience analyzing large data sets to solve problems and drive impact
• A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
• Expert knowledge of a scientific computing language (Python or R) and SQL
• Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
• Experience in building scalable ETL solutions utilizing SQL, Presto, Spark and other tools
• Experience in working with multiple cross-functional teams to deliver results
• The ability to communicate results clearly
• Worked well under pressure