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Director, Product Data Science - Fleet Optimization and Orchestration

Waymo · Mountain View, CA, US; San Francisco, CA, US · Mountain View (US-MTV-EMF680) · San Francisco (US-SFO-MKT555)

CHECKED 6H AGO

Roboticsonsitesenior manager$272k–$336k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead data science for fleet optimization as Waymo scales autonomous ride-hailing.
  • Shape commercial performance using operational data from millions of rider trips.
  • Partner with senior leaders to scale Waymo Driver commercial operations.

What they offer

  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous company benefits program

Ideal candidate

A curious, data-driven leader who thrives on ambiguous operational challenges and scaling marketplaces. You enjoy mentoring scientists, aligning senior stakeholders, and turning complex analysis into commercial impact.

Requirements

  • 12+ years of experience in a related technical field or equivalent practical experience
  • 5+ years of team management experience
  • 5+ years of experience with optimization and building OR models in production
  • Statistical knowledge/data intuition
  • Ability to structure and solve ambiguous problems
  • Coding skills and experience: Python, SQL and Data science related coding experience
  • Prior experience building and managing OR/Optimization scientists
  • Marketplace business experience
  • Experience interacting with Product Management teams
remote policy
hybrid work schedule

Lab profile

About Waymo

Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.

What they build

  • Waymo Driver
  • Fully autonomous ride-hail service

Known for

  • Large-scale driving simulation
  • Simulation realism
  • Quantitative evaluations
  • Onboard autonomy models

Key facts

  • Founded in 2009
  • Started as the Google Self-Driving Car Project
More about Waymo →
Apply on the lab’s site ↗