Staff Data Scientist
Job Summary
The Waymo Driver is the core technology powering Waymo’s fully autonomous ride-hail service and is responsible for ensuring the safety and reliability of the system. This role involves leading the evaluation and testing methodologies for the Waymo Driver, working closely with product and engineering teams to monitor and enhance the evaluation ecosystem.
Key Responsibilities
Develop methodologies and Key Performance Indicators (KPIs) to measure the quality, cost efficiency, and business relevance of various behavior evaluation solutions at Waymo.
Influence the portfolio of evaluation signals used by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts.
Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc.
Become an expert in Waymo’s evaluation ecosystem for onboard software, understanding how various evaluation signals affect launch decisions and providing actionable insights for designing launch criteria.
Collaborate with product and engineering teams to build solutions for assessing Waymo’s evaluation portfolio at scale and accelerating the development for new evaluation.
Collaborate with owners of various evaluation solutions to develop feedback loops that surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement.
Requirements
Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems
Solid statistical background
Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models
Strong communication/leadership skills to address a high surface area across different organizations and products
Ability to navigate through ambiguous business requirements and propose a clear technical solution
Preferred Qualifications
PhD in a quantitative field
Experience developing production-grade software and tools
Experience as the technical lead for a broad data science area
A demonstrated track record of independently driving data science projects to deliver business value
Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems
Experience solving problems related to Autonomous Driving or Ride Hailing