Waymo Product Data Scientist - Optimization Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driverthe world's most experienced driverto improve access to mobility and save lives. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can be applied across various vehicle platforms and use cases. It has completed over one million rider-only trips and driven tens of millions of miles on public roads across 13+ U.S. states. Our Product Data Science team collaborates with Engineering, Product, and Operations teams to make data-informed decisions. We work on high-impact projects such as driving quality, operational efficiency, market analysis, and rider satisfaction to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adaptable. Role Overview This hybrid role reports to a Product Data Science Lead, Optimization. Responsibilities Partner with Engineering, Product, and Data Science teams to develop Matching and Positioning models for Waymo. Apply machine learning models to predict customer wait times and analyze vehicle values in different positions. Implement optimization models to assign Waymo vehicles to customers or positioning locations efficiently. Design, conduct, and evaluate experiments on new models. Present findings regularly to Waymo leadership. Qualifications Statistical knowledge. Coding skills in Python and SQL. Experience with machine learning and reinforcement learning models. Experience with experimentation methodologies. Minimum of 4+ years of industry experience. Preferred Skills Experience with optimization modeling and solvers like CP-SAT, CPLEX, Gurobi. Prior experience at ride-hailing or marketplace companies. Compensation & Benefits The base salary range for this full-time role across US locations is $196,000 $248,000 USD. Actual pay depends on location, experience, training, and skills. Employees are eligible for annual bonuses, equity incentives, and comprehensive benefits. #J-18808-Ljbffr