Senior Product Data Scientist, Marketplace Algorithms ML

San Francisco · Mountain Viewsenior

Data Science

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Quick Summary

Overview

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,

Technical Tools

Data Science

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.

This role follows a hybrid work schedule and you will report to a Product Data Science Lead

Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace
Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions
Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations
Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning
Define, conduct and evaluate experiments on new models

Statistical knowledge
Coding skills (Python and SQL)
Experience with Machine Learning
Experience with Reinforcement Learning
Experience with experimentation
At least 4 years of industry experience

Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)
Experience with optimization
Experience at another Ride hailing or Marketplace company

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$196,000—$248,000 USD