Summary
Riki Saito is a Senior Staff Data Scientist with 10 years of experience applying statistics and machine learning to product, marketing, and operations across Consumer Electronics, Entertainment, Automotive, and on-demand retail. He has led company-wide churn analytics and experimentation programs at Dropbox, scaled forecasting and inventory ML at DoorDash, and built recommendation models for Sony Pictures used in sales planning and targeted marketing. Comfortable bridging research and product, Riki architects self-serve tooling and experimentation frameworks that accelerate decision-making and translate into measurable ARR impact. He holds an M.S. in Statistics from the University of Minnesota and a B.S. in Statistics and Economics from UIUC, and he regularly blogs about practical data science—demonstrating a commitment to clear communication and reproducible analysis.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at University of Minnesota
Ridgewood High School
Bachelor of Science (B.S.), Statistics; Economics, Bachelor of Science (B.S.), Statistics; Economics at University of Illinois Urbana-Champaign
Japanese, English