2027 Summer Intern, PhD, Product Data Science

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.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• Improve causal, predictive pricing models through additional feature granularity, properly regularized 
• Improve pricing models through enhanced time series estimation 
• Improve the quantification of loss resulting from pricing model mispredictions 

You have:

• Currently enrolled in a PhD program
• Causal inference and/or econometrics expertise
• Predictive modeling experience
• Experience in Python and SQL

We prefer:

• Working with Causal Machine Learning approaches (e.g. Double Machine Learning)
• Previous experience at ride-hailing or marketplace companies

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.