Meet the Team

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 Do

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

What You'll Need to Succeed

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

Bonus Points

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

Perks of Being a Full-time Torc'r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

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

Job ID: R-102792

Hiring Range for Job Opening

US Pay Range

$145,900-$175,100 USD

Torc Robotics

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Safety Statistician, III - Risk & Safety Analysis