Staff Product Data Scientist, Fleet Infrastructure

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.

You will:

In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:

• Building and maintaining optimization and simulation models to help make data driven infrastructure decisions.
• Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement.
• Collaborate with cross functional partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo.

You have:

• 8+ years of experience in operations research, optimization or supply chain.
• Strong communication to work with multiple cross functional partners, including Operations and Product Management.
• Proficiency in Python and SQL.
• Master degree in a quantitative field.

We prefer:

• Experience at a ride-hailing or two-sided marketplace company.
• Experience in leveraging marketplace simulation.
• PhD in Computer Science, Operations Research, Optimization, Supply Chain, Industrial Engineering or a related field.