Senior Product Data Scientist, Matching

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.

In this hybrid role, you will report to a Product Data Science Lead, Optimization.

You will:

• Partner with Engineer, Product and Data Science teams to develop Matching and Positioning models for Waymo
• Apply Machine Learning models to predict the customer wait times and build better understanding of vehicle values in different positions
• Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations
• Define, conduct and evaluate experiments on new models
• Present on a regular basis to Waymo leadership

You have:

• Statistical knowledge
• Coding skills (Python and SQL)
• Experience with machine learning
• Experience with Reinforcement Learning models
• Experience with experimentation
• 4+ years of industry experience

We prefer:

• Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)
• Experience with optimization
• Experience at another Ride hailing or Marketplace company