Sr. Product Data Scientist, Planning

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 the Director, Product Data Science.

You will:

• Work with cross functional teams to make long-term decisions related to vehicle allocation, capital investment, and long-term growth planning.
• Develop forecasting models that measure the impact of long-term investments on key business metrics.
• Build optimization models to choose the allocation of vehicles and infrastructure across markets.
• Conduct deep dive analysis to identify areas for future improvement.

You have:

• At least 3 years of industry experience.
• Coding skills (Python & SQL).
• Strong communication and stakeholder & management skills.
• ML, causal inference, and optimization algorithm experience.
• Experience working with the product management and engineering teams.
• Proficiency in data pipeline development.

We prefer:

• Experience with causal inference, optimization, and/or forecasting.