Staff Safety Data Scientist, Safety Analysis
Core
Lead safety research and risk assessment for self-driving vehicles using advanced statistical analysis and probabilistic modeling to drive safety strategy and external communications.
Role type
Staff Safety Data Scientist (Technical Leader)
Builds
Safety cases, benchmark studies, risk forecasting models, and dashboards for autonomous vehicle operations.
Domain
Autonomous Vehicles / Self-Driving Technology
Deliverable
production ML models | dashboards & analysis | research
Required skills
Statistical methods, probabilistic modeling, risk assessment methodologies, Python, SQL, R, data visualization, large dataset analysis, technical leadership, mentoring
Preferred skills
Advanced degree in Statistics/Math/Physics/Engineering, publications in safety/risk, DBT, AWS, background in Autonomous Vehicles/Aerospace/Robotics
Technologies
Python, SQL, R, Tableau, Power BI, DBT, AWS
Responsibilities
Lead development of quantitative data analytics using proprietary and public safety data; Author and present technical analyses to internal and external stakeholders; Design and automate data collection and analysis for safety programs; Extract insights from historical safety performance to develop leading indicators; Develop statistical models to predict risks and prevent incidents; Model self-driving vehicle behaviors at system and subsystem levels; Create dashboards and reports for communicating risk and anomalies; Present safety research findings to senior leadership and recommend improvements; Mentor and lead junior team members.
Seniority
Staff, Technical Leader & Mentor
