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
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