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About the Role

Waymo is seeking a leader to drive key initiatives for modeling weather patterns and their impact on Waymo’s ride hailing service. This role involves streamlining operational procedures, mitigating weather-related challenges, and measuring the performance of the Waymo Driver in adverse weather conditions.

Responsibilities

• Define and uphold a high bar for measurement rigor to ensure reliable evaluation signals for deployment, scaling, and mitigation decisions.
• Identify and resolve gaps where current evaluation signals are not scaling with Waymo’s business or providing necessary actionability.
• Build pipelines and models integrating diverse weather data sources to enhance weather intelligence and prediction capabilities.
• Measure and communicate the performance of the Waymo driver in adverse/extreme weather conditions to senior stakeholders.
• Develop scalable analysis frameworks supporting multiple climate types, domestically and internationally.
• Optimize operational processes for addressing adverse/extreme weather across various geographical territories for improved efficiency and responsiveness.
• Develop a deep understanding of Waymo’s long-term roadmap and collaborate with product, engineering, and systems engineering leads.
• Influence roadmaps for engineering work to enhance measurement capabilities.
• Act as a technical contributor and lead for junior data scientists.
• Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
• Champion data science excellence and provide constructive technical feedback within the team and across Waymo.

Requirements

• Degree in a quantitative field (e.g., Statistics, Mathematics, Physics).
• Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
• Experience working with and building models for spatio-temporal data.
• Experience as a technical lead.
• Experience working in highly cross-functional teams and championing data-driven culture.
• Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models.
• Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL.

Skills

• Python
• R
• SQL
• Machine Learning
• Statistical Methods
• Spatio-temporal data modeling
• Weather modeling
• Weather prediction

Location

• US

Work Type

• Hybrid

Experience Level

• Senior
• Lead

Education Level

• PhD
• Master's Degree
• Bachelor's Degree

Salary/Compensations

• $251,000—$310,000 USD

Benefits

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

About the Company

• Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
• Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
• 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.
• The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.