Riskified
The Staff Data Scientist on the Identity team drives the innovation roadmap for the Identity Graph Engine by architecting, researching, and deploying state-of-the-art machine learning models to solve complex entity resolution and fraud prevention challenges. This role involves defining the research roadmap, setting technical standards, and guiding complex research projects from concept to high-throughput production systems. The position requires close collaboration with Data Engineering, Core Software, and Product teams to integrate complex ML pipelines into real-time production environments while mentoring senior data scientists.
Headquarters
New York, New York, United States
Company Size
501-1000 employees
Founded
2013
Riskified is an e-commerce fraud prevention and chargeback-protection platform that helps online merchants approve legitimate customers and block fraudulent orders. Using machine learning and a global network of merchant data, it analyzes transactions and account activity to prevent fraud, reduce false declines, and provide a chargeback-guarantee service that shifts fraud liability away from merchants. Riskified integrates with major ecommerce platforms and payment processors to boost approval rates, lower fraud losses, and protect retailers and marketplaces worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Riskified.
Riskified didn’t post a salary, so this is our estimate from similar listings.
31% above the average for this role