Staff Product Data Scientist, Infrastructure

Waymo; United States; Hybrid; USD 230,000 - 284,000; Full time

Benefits offered by this job

Discretionary bonus

Equity incentives

Comprehensive benefits

Job summary

The Waymo Driver Product Data Science team is seeking a data scientist to develop models and measurement frameworks that guide infrastructure decisions and improve operational efficiency. You will collaborate with Engineering, Product, and Operations to interpret model results for Waymo's autonomous ride-hail platform.

This hybrid role, based in the United States, offers a base salary in the range of $230,000–$284,000 with eligibility for discretionary bonuses, equity incentives, and

Qualifications

• Solid background and applied work experience in operations research, optimization, or supply chain.
• Master’s degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or related discipline)

Responsibilities

• Build and maintain data science models to help make data-driven infrastructure decisions
• Design and implement quantitative measurement frameworks to assess efficiency of the infrastructure footprint and identify areas for improvement
• Collaborate with cross-functional partners in Supply Operations to ensure relevant business and product context is considered alongside model output to make the best decisions for Waymo

Skills

Operations research

Optimization

Supply chain

Education

Master’s degree in quantitative field

Ph.D. in Operations Research/Optimization/Supply Chain

Job description

Overview

Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. 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. Waymo has completed over ten million rider-only trips and autonomously driven 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 informed decisions using data. The team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — 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 reports to the Director of Product Data Science.

Responsibilities

• Build and maintain data science models to help make data-driven infrastructure decisions
• Design and implement quantitative measurement frameworks to assess the efficiency of the infrastructure footprint and identify areas for improvement
• Collaborate with cross-functional partners in Supply Operations to ensure relevant business and product context is considered alongside model output to make the best decisions for Waymo

Qualifications

• Solid background and applied work experience in operations research, optimization, or supply chain
• Master’s degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or related discipline)

Preferred

• Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field

Compensation

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: $230,000—$284,000 USD