Product Data Scientist, Operation Center

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.

This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.

You will:

• Develop and deploy statistical models to determine optimal staffing levels, ensuring rapid response times to AV and rider inquiries while upholding Waymo's safety standards
• Collaborate with Engineering to design and implement optimization models for request prioritization and queuing, driving cutting-edge scalability for operations
• Conduct deep-dive data analysis and trend evaluation to identify and execute on opportunities to improve Operations Center efficiency and customer experience
• Partner with Product and Operation to define metrics, measurement framework, and be a promoter of experimentation
• Build and maintain robust data foundations and reporting infrastructure

You have:

• Coding skills (Python and SQL),
• Experience with Modeling and Optimization
• At least 8 years of industry experience
• Strong Communication and Stakeholder & Management skills

We prefer:

• Experience with Experimentation
• Previous experience with Call Centers and queuing theory