Safety Statistician, III – Risk & Safety Analysis

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Blacksburg, VA, USA
Remote or Hybrid
146K-175K Annually
Mid level
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Role
Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.
Summary Generated by Built In

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.  

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.  

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  

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.  

Job ID: R-102792 

Hiring Range for Job Opening 
US Pay Range
$145,900$175,100 USD

Skills Required

  • Advanced degree in Statistics or a closely related field (M.S. with 3+ years or PhD with 1+ years)
  • Strong background in applied statistics, safety analysis, and risk estimation
  • Experience with complex, real-world datasets (large-scale time-series, vehicle/sensor data)
  • Hands-on experience using Python for analysis
  • Experience in autonomous vehicles, adjacent safety-critical domains, or comparable actuarial experience
  • 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 with SQL and/or R
  • Experience applying Bayesian methods to estimate risk using disparate data sources (simulations, 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 under time constraints
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The Company
HQ: Blacksburg, VA
500 Employees
Year Founded: 2005

What We Do

Torc Robotics is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, we have 17 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing self-driving trucks.

Why Work With Us

Every Torc’r is unique. The traits that define and motivate us to save lives are what unite us. At Torc, we recognize that technical prowess is only part of the equation. Our team includes people with a consistent drive to accomplish great things. We look for those who don’t let ego get in the way of teamwork.

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