Develop safety evaluation frameworks that are critical to ML model improvements; Design and implement robust data analysis pipelines and validation frameworks; Develop and apply statistical methods and ML models to analyze historical/simulation data and assess safety performance; Collaborate with cross-functional teams like Simulation and Planning to ensure comprehensive safety evaluation across the autonomous driving system
Requirements:
PhD in a quantitative field (IE Statistics, Mathematics, Physics); 3+ years of industry experience solving large-scale complex problems; Proven expertise using advanced statistical methods (e.g., ML models, hypothesis testing, causal analysis); Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges); Demonstrated knowledge of Python/SQL/R data analysis libraries and packages
Text:
Senior Data Scientist, Safety Evaluation Develop safety evaluation frameworks that are critical to ML model improvements; Design and implement robust data analysis pipelines and validation frameworks; Develop and apply statistical methods and ML models to analyze historical/simulation data and assess safety performance; Collaborate with cross-functional teams like Simulation and Planning to ensure comprehensive safety evaluation across the autonomous driving system PhD in a quantitative field (IE Statistics, Mathematics, Physics); 3+ years of industry experience solving large-scale complex problems; Proven expertise using advanced statistical methods (e.g., ML models, hypothesis testing, causal analysis); Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges); Demonstrated knowledge of Python/SQL/R data analysis libraries and packages
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