# 2027 Summer Intern, MS/PhD, Product Data Science

**Company:** [Waymo](https://zerogtalent.com/frontier-companies/waymo)
**Location:** San Francisco, California, United States
**Work mode:** On-site
**Seniority:** Intern
**Employment type:** Internship
**Salary:** USD 70–70/hr
**Category:** Software
**Department:** Other
**Listed:** 2026-09-18

[View and apply on Zero G Talent](https://zerogtalent.com/frontier-jobs/waymo/2027-summer-intern-phd-data-science-8199365)

## What you'll do

- Improve causal predictive pricing models with feature granularity
- Enhance time series estimation for pricing models
- Quantify loss from pricing model mispredictions

## What you need

- Currently enrolled in PhD program
- Causal inference/econometrics expertise
- Predictive modeling experience
- Python and SQL proficiency
- Preferred: causal ML (Double ML)

## Job description

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 Masters Pay

$70—$70 USD

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

## Other open roles at Waymo

- [Industrialization Engineer](https://zerogtalent.com/frontier-jobs/waymo/industrialization-engineer-8315980) — Mountain View, CA, USA; Novi, MI, USA
- [Staff Product Data Scientist, Marketplace Machine Learning](https://zerogtalent.com/frontier-jobs/waymo/staff-product-data-scientist-marketplace-machine-learning-8328202) — Mountain View, CA, USA; San Francisco, CA, USA
- [Sr. Staff Systems Engineer, Perception-Planner Risk](https://zerogtalent.com/frontier-jobs/waymo/sr-staff-systems-engineer-perception-planner-risk-8319591) — Mountain View, CA, US
- [2027 Summer Intern, PhD, Research Scientist Intern](https://zerogtalent.com/frontier-jobs/waymo/2027-summer-intern-phd-research-scientist-intern-8337719) — Mountain View, CA, USA
- [2027 Summer Intern, MS/PhD, Weather Perception](https://zerogtalent.com/frontier-jobs/waymo/2027-summer-intern-ms-phd-weather-perception-8335511) — San Francisco, CA, USA

---
*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*