Staff Product Data Scientist: Infrastructure Optimization

Waymo; California (MO); Hybrid; USD 230,000 - 284,000; Full time

Benefits offered by this job

Bonus program

Equity incentive plan

Benefits package

Job summary

Waymo’s Product Data Science team builds data-driven models to support infrastructure decisions and improve operational efficiency across the Waymo Driver program. This hybrid, full-time role reports to the Director of Product Data Science and focuses on scaling data-driven infrastructure choices.

Candidates should have a strong foundation in operations research, optimization, and supply chain, with a Master’s (PhD preferred).

Qualifications

• Background in operations research, optimization, or supply chain.
• Masters degree in a highly quantitative field required; PhD preferred.

Responsibilities

• Build and maintain data science models to guide infrastructure decisions.
• Design quantitative measurement frameworks to assess infra efficiency.
• Collaborate with cross-functional partners to align model outputs with business goals.

Skills

Operations research

Optimization

Supply chain

Education

Master’s degree in a highly quantitative field

Ph.D. in Operations Research, Optimization, or related field

Job description

Waymo’s Product Data Science team builds data-driven models to support infrastructure decisions and improve operational efficiency across the Waymo Driver program. This hybrid, full-time role reports to the Director of Product Data Science and focuses on scaling data-driven infrastructure choices.

Candidates should have a strong foundation in operations research, optimization, and supply chain, with a Master’s (PhD preferred).