2027 Summer Intern, PhD, Data Science
Waymo · San Francisco, California, United States
About this role
**Waymo — Product Data Science (2027 Summer Intern, PhD, Data Science)** Waymo is an autonomous driving technology company with a mission to be the world’s most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can be applied to a range of vehicle platforms and product use cases. Waymo’s Product Data Science team works cross-functionally with Engineering, Product, and Operations to make the most informed decisions using data—supporting high-impact projects across driving quality, operational efficiency, market analysis, and rider satisfaction. **You will:** - Improve causal and predictive pricing models through additional feature granularity and proper regularization - 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. Resumes will be accepted on a rolling basis until the role is filled. To be considered for multiple roles, you must apply to each one individually—please apply to the top 3 roles you’re interested in. **Pay Transparency:** The expected hourly rate for this full-time position is **$85 USD/hour**.
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