Nate Coleman is an accomplished data scientist with a strong background in data analytics and economic modeling. Experience includes serving as a Data Scientist in the Cash Strategy and Data Analytics team at Charles Schwab, where rigorous analyses informed strategies for cash products and key firm metrics. Prior roles at Analysis Group involved gathering and validating data to support litigation cases, along with developing quantitative models and overseeing analyst work. Additional experience includes positions at Calm, Russell Investments, Mode, and Meta, demonstrating expertise in data visualization, model programming, and team leadership. Nate Coleman holds a Bachelor of Science in Economics and Applied and Computational Math Sciences from the University of Washington.
This person is not in the org chart
This person is not in any teams
This person is not in any offices