Lead Data Scientist, Evaluation & Metrics

Neura Market; Mountain View (CA); Hybrid; USD 238,000 - 302,000; Full time

Benefits offered by this job

Annual bonus

Equity incentives

Generous benefits

Job summary

Waymo in Mountain View is seeking a leader to measure the quality and trustworthiness of the Waymo Driver behavior evaluation portfolio. You will collaborate with product and engineering to develop scalable evaluation solutions and drive continuous improvement across the evaluation ecosystem.

The role requires a strong statistical background, experience with data analysis in Python/R/SQL, and the ability to translate ambiguous requirements into technical strategies.

Qualifications

• Degree in a quantitative field (e.g., Statistics, Mathematics, Physics).
• PhD in quantitative field and 5+ years of industry experience, or 7+ years solving data science problems.
• Strong statistical background with applied methods (experimentation design, causal inference) and familiarity with ML systems/models.
• Experience with data analysis libraries in Python, R, and/or SQL.
• Strong communication/leadership across organizations and products.

Responsibilities

• Lead a roadmap to develop KPIs to measure evaluation quality, cost efficiency, and business relevance.
• Influence evaluation signals used by software engineers to ensure positive impacts.
• Conduct deep dives to identify bottlenecks and prototype metric improvements.
• Become an expert in Waymo’s evaluation ecosystem for onboard software and advise launch criteria.
• Collaborate with product/engineering to build scalable evaluation solutions.
• Develop feedback loops with stakeholders to drive continuous improvement.

Skills

Statistics

Data analysis

Python

R

SQL

Communication

Leadership

Education

PhD in quantitative field

Tools

ML systems

Experimentation platforms

Statistical software

Job description

Waymo in Mountain View is seeking a leader to measure the quality and trustworthiness of the Waymo Driver behavior evaluation portfolio. You will collaborate with product and engineering to develop scalable evaluation solutions and drive continuous improvement across the evaluation ecosystem.

The role requires a strong statistical background, experience with data analysis in Python/R/SQL, and the ability to translate ambiguous requirements into technical strategies.