Bayesian Statistician – Risk & Safety Analysis

Blacksburg, VA · Remote · full time · Senior

$145,900 – $175,100

Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role applies Bayesian and frequentist statistics to evaluate safety and risk in autonomous truck systems, translating complex analyses into actionable insights for engineering and leadership teams. It suits statisticians with deep expertise in applied Bayesian methods and experience in safety-critical domains who want to directly influence autonomous vehicle safety decisions.

Our summary, not Torc Robotics’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Bachelor's degree in Statistics, Computer Science, Robotics, Engineering, or related field plus 6+ years experience, or Master's degree in related field plus 3+ years experience
Strong background in applied statistics, safety analysis, and risk estimation
Demonstrated experience applying Bayesian analyses
Understanding of both Bayesian and frequentist frameworks with ability to select appropriate approach
Ability to assess whether Bayesian credible intervals have adequate frequentist coverage properties
Experience in autonomous vehicles, safety-critical domains, or comparable actuarial work
Experience with complex, real-world datasets
Hands-on Python experience for analysis
Clear communication of statistical concepts to non-technical audiences
Ability to operate independently as technical leader in cross-functional environment
Domain knowledge in Bayesian methods

Nice to have

Experience applying Bayesian methods to estimate risk from disparate data sources
Knowledge of conservative Bayesian inference principles for safety-critical decisions
Experience with causal inference methods or Bayesian networks
Advanced MCMC knowledge and variational inference techniques
Background in statistics applied to engineering or physics systems
Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
Experience supporting executive decision-making with quick turnarounds