Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace

Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions

Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations

Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning

Define, conduct and evaluate experiments on new models