Bryan Schwimmer

Bryan Schwimmer is a data scientist with extensive experience in leading teams and developing analytical frameworks across various organizations. Currently serving as the Lead Data Scientist at PayPal, Bryan leads a small team dedicated to experimentation, modeling, analytics, and data pipelines related to peer-to-peer payments. Previous roles include Senior Data Scientist at LinkedIn, where Bryan developed data pipelines to analyze fraudulent connection requests, and at McKinsey & Company, focusing on using natural language processing to derive consumer insights and building predictive models for customer retention. Bryan began a career in data science at IBM, optimizing data processes for IRS fraud detection, and also has experience as an Analyst in financial economics at Charles River Associates. Bryan holds a Bachelor of Science in Computational Mathematics and Economics from The George Washington University.