Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.