Senior Data Scientist, Systems Performance

What you'll do

• Develop and monitor evaluation frameworks, metrics, statistical methods, and data quality for simulation and on-road performance.
• Analyze fleet and evaluation data to identify anomalies, edge cases, coverage gaps, and relationships between simulation and on-road results; improve test coverage.
• Partner with engineering and safety teams to inform launch decisions, communicate findings, and establish developer self-service evaluation practices.

What they ask for

• 5+ years of industry experience solving complex problems with large datasets.
• Bachelor's or higher degree in a quantitative field such as Computer Science, Data Science, Robotics, Physics, or Mathematics.
• Strong Python and SQL skills and experience using data analysis libraries with large, complex datasets.
• Experience applying advanced statistical and ML methods, including statistical analysis, hypothesis testing, and causal analysis.

Nice to have

• Master's or PhD.
• Experience in autonomous driving or robotics; adversarial scenario generation, simulation, data pipelines/distributed compute, or automotive safety standards.

Pay

$149,000 — $198,500 USD (base salary)

Tools

Python, SQL, AWS, Transformers, ISO 26262, ISO 21448, SOTIF

AI focus

Introduces ML methods where they improve rigor and scale in performance evaluation; applies statistical and ML techniques to autonomous-vehicle performance data. Deep learning, sequence modeling, and probabilistic ML are preferred areas.