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

Requirements

Advanced degree in Statistics or a closely related field
M.S. with 5+ years of experience, or PhD with 3+ years of experience
Strong background in applied statistics, safety analysis, and risk estimation
Experience in autonomous vehicles or adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail etc.)
Experience working with complex, real-world datasets rather than clean or purely academic data
Hands-on experience using Python for analysis (SQL and/or R a plus, but not required)
Ability to communicate statistical concepts clearly to non-statistical audiences
Comfort operating independently as a technical leader in a cross-functional, distributed environment

Benefits

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

statistical analysisrisk assessmentBayesian methodsfrequentist methodsmachine learningPythonSQLRdata analysis workflowstime-series data

communicationtechnical leadershipcross-functional collaborationindependent worktranslating complex analyses

advanced degree in StatisticsM.S.PhD