Senior Data Scientist, Systems Performance
Core
Lead the development of evaluation frameworks and metrics to validate the performance, safety, and readiness of autonomous driving systems (IONIQ 5 robotaxis) for commercial launch.
Role type
Senior IC data scientist (autonomous systems evaluation)
Builds
Evaluation methodologies, metrics, and statistical analysis pipelines for on-road and simulation data
Domain
Autonomous driving / Robotics / Automotive safety
Deliverable
production ML models
Required skills
Python, SQL, advanced statistical analysis, hypothesis testing, causal analysis, machine learning, data pipeline management, simulation data analysis
Preferred skills
Adversarial scenario generation, closed-loop simulation, perception/prediction/motion planning evaluation, ISO 21448 (SOTIF) familiarity, deep learning, sequence modeling, uncertainty quantification
Technologies
AWS, data analysis libraries, simulation environments
Responsibilities
Develop evaluation frameworks connecting technical problems to data-driven validation approaches; Ensure evaluation metrics are reliable for safety cases and launch decisions; Monitor metric reliability over time to detect drift and degradation; Drive performance analysis using statistical methods for simulation and on-road data; Develop new statistical analysis methods for AV performance data; Partner with operators to convert edge cases into simulation scenarios; Establish correlation between on-road and simulation data; Introduce ML methods for performance evaluation where they add rigor and scale
Seniority
Senior, hands-on IC
