Safety Statistician, III – Risk & Safety Analysis
Blacksburg, VA, Remote - US Remote
$145,900–$175,100 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Safety Statistician – Risk & Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems. You will influence the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization. This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics.
What you'll bring
- Advanced degree in Statistics or a closely related field
- M.S. with 3+ years of experience, or
- PhD with 1+ years of experience
- Strong background in applied statistics, safety analysis, and risk estimation
- Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience
- Experience working with complex, real-world datasets rather than clean or purely academic data
- Hands-on experience using Python for analysis
- Ability to communicate statistical concepts clearly to non-statistical audiences
- Comfort operating independently as a technical leader in a cross-functional, distributed environment
- Domain knowledge in Bayesian methods
- Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)
- Background applying statistics to engineering or physics-based systems