Staff Data Scientist

Job description

Job responsibilities

• Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo.
• Directly influence the portfolio of evaluation signals relied on 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. Understand how a broad variety of evaluation signals affect Waymo’s launch decisions, develop strategies for evaluating trade-offs, and provide…
• Collaborate with product and engineering teams to build solutions for assessing Waymo’s evaluation portfolio at scale and accelerate the development for new evaluation.
• Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement.

Job 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
• Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL
• Strong communication/leadership to address a high surface area across different organizations and products
• Ability to navigate through ambiguous business requirements and propose a clear technical solution