• Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets • Bridge safety and engineering teams by translating complex analyses into information engineers can act on • Develop automated, production-ready analysis workflows that support continuous safety monitoring • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives