Bayesian Statistician Risk and Safety Analysis

Skills

About the Role

You will apply Bayesian and frequentist analyses to safety, regulatory, and risk questions. You will assess complex vehicle and safety data, develop production-ready monitoring workflows, select appropriate methods for rare or noisy data, and communicate defensible findings to technical and executive stakeholders.

Requirements

• Bachelor's degree plus 6+ years of relevant experience, or master's degree plus 3+ years of relevant experience
• Applied statistics, safety analysis, and risk-estimation background
• Experience applying Bayesian analyses
• Understanding of Bayesian and frequentist statistical frameworks
• Ability to evaluate frequentist coverage of Bayesian credible intervals and adjust priors or model structure
• Experience in autonomous vehicles, safety-critical domains, or actuarial work
• Experience with complex real-world datasets
• Python analysis experience
• Ability to communicate statistical concepts to non-statistical audiences
• Bayesian methods knowledge

Responsibilities

• Employ Bayesian and frequentist analyses for safety and regulatory questions
• Quantify and assess risk using time-series vehicle, sensor, and safety data
• Translate statistical analyses into actionable engineering information
• Develop automated production-ready workflows for continuous safety monitoring
• Select and defend statistical approaches for sparse, noisy, or rare-event data
• Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

Benefits

• Bonus component
• Stock options
• 100% paid medical, dental, and vision premiums
• 401K plan with 6% employer match
• Flexible schedule
• Paid vacation available immediately after start date
• Company-wide holiday office closures
• AD+D insurance
• Life insurance