Lead the development of evaluation frameworks for the autonomous system
Collaborate closely with Functional Safety and Systems Engineering teams
Ensure evaluation metrics are reliable enough to inform safety cases
Monitor the reliability of evaluation metrics and incoming performance data over time
Drive our approach to performance analysis using data-backed statistical methods
Develop new statistical analysis methods to analyze AV performance data
Partner with triage operators to turn raw disengagements into scenarios
Use fleet and evaluation data to identify edge cases in an automated manner
Build confidence in the evaluation framework through data-driven insights
Establish correlation between on-road and simulation data
Make sense of large datasets to drive insights
Establish a self-service model for developers
Develop new metrics, interpret trends, and investigate anomalies
Collaborate with developers to drive action based on these results
Serve as an advisor and influence collaborators across multiple teams
Mentor and collaborate with fellow engineers
Introduce the use of ML methods for performance evaluation

5+ years of industry experience solving complex problems with large datasets
Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field
Strong problem-solving skills
Strong Python and SQL skills
Experience applying advanced statistical and ML methods
Demonstrated experience with statistical analysis, hypothesis testing, causal analysis and data analysis
Demonstrated ability to work independently and drive projects from problem definition to actionable results
Proven communication and interpersonal skills
Eager to learn new statistical and ML techniques

Senior Data Scientist, Systems Performance

Key skills