---
title: "2027 Summer Intern, PhD, Product Data Science"
company: "Waymo"
company_url: "https://www.remjobs.works/companies/waymo"
url: "https://www.remjobs.works/job/waymo-2027-summer-intern-phd-product-data-science-160784c7-c7de-464f-ab56-c5ca84d7462e"
apply_url: "https://careers.withwaymo.com/jobs?gh_jid=8199365"
workplace: onsite
location: "San Francisco, California, United States"
employment_type: unspecified
seniority: internship
role: data
region: united-states
skills: ["python", "sql"]
date_posted: 2026-09-18T17:54:04.000Z
first_seen_by_remjobs: 2026-09-18T19:42:23.993Z
---

# 2027 Summer Intern, PhD, Product Data Science

**Waymo** · San Francisco, California, United States

Apply: https://careers.withwaymo.com/jobs?gh_jid=8199365

## About Waymo

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles. Take a ride now.

## About the role

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

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.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly PhD Pay$85—$85 USD

---

Source: Waymo's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/waymo-2027-summer-intern-phd-product-data-science-160784c7-c7de-464f-ab56-c5ca84d7462e