Autonomous Vehicle Metrics and Evaluation Data Scientist - Analytics

What You'll Do

• Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
• Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
• Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
• Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
• Build scalable data pipelines to automate metric computation and reporting.
• Review driving logs and participate in test rides to ground analyses in real-world performance.

What You'll Need

• 2+ years of experience in data science, applied statistics, or metrics development.
• Proficiency in Python and SQL for data analysis.
• Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
• Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
• Ability to communicate technical findings to cross-functional stakeholders.

Nice to Have

• Experience with machine learning (e.g., model evaluation, feature engineering).
• Familiarity with big data tools (Spark, Hadoop, MapReduce).
• Knowledge of traffic regulations or automotive safety standards (e.g., NHTSA).