Note: The job is a remote job and is open to candidates in USA. Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. As a Safety Statistician, you will conduct rigorous statistical analyses to inform safety assurance strategies and risk-based decision making, directly influencing safety performance and risk management across the organization.
Responsibilities
- Employ 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
Skills
- 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 (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
- 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
- Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
- Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness
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 (availableimmediatelyafterstartdate)
- Company-wide holiday office closures
- AD+D and Life Insurance
Company Overview
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