Staff Data Scientist, Weather Intelligence (Hybrid)

Waymo; Mountain View (CA); Hybrid; USD 251,000 - 310,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous benefits program

Job summary

Waymo is seeking a senior data scientist to lead weather-related modeling for our ride-hailing service. You will build pipelines and models for weather data, evaluate performance, and influence roadmaps across product, engineering, and systems teams.

This hybrid role reports to the Data Science Lead for Driving Quality & Scope Expansion. A quantitative degree and leadership experience are required, with a base salary range noted. This position offers competitive benefits and equity opportunities.

Qualifications

• Degree in a quantitative field (Statistics, Mathematics, Physics).
• PhD with 8+ years or 12+ years of industry experience solving data science problems.
• Experience with spatio-temporal data models.
• Experience as a technical lead.
• Experience in cross-functional teams and data-driven culture.
• Proficiency in Python, R, and/or SQL.

Responsibilities

• Define and uphold measurement rigor for evaluation signals informing deployment and scaling decisions.
• Build pipelines and models integrating weather data sources to enhance weather intelligence.
• Measure performance of Waymo Driver in adverse weather and report findings to stakeholders.
• Develop scalable analysis frameworks for multiple climate types domestically and internationally.
• Optimize operational processes for adverse weather across territories.
• Understand Waymo’s long-term roadmap and influence engineering roadmaps.
• Mentor junior data scientists and contribute technically to projects.

Skills

Spatio-temporal data modeling

Technical leadership

Cross-functional collaboration

Statistical methods

Python/R/SQL

Education

Degree in quantitative field

PhD in a quantitative field

Tools

Python

R

SQL

Job description

Waymo is seeking a senior data scientist to lead weather-related modeling for our ride-hailing service. You will build pipelines and models for weather data, evaluate performance, and influence roadmaps across product, engineering, and systems teams.

This hybrid role reports to the Data Science Lead for Driving Quality & Scope Expansion. A quantitative degree and leadership experience are required, with a base salary range noted. This position offers competitive benefits and equity opportunities.