Staff Safety Data Scientist / Statistician (Risk & Safety Analysis)

Torc Robotics • Ann Arbor, MI

16d

About The Position

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 Staff Safety Data Scientist / Statistician, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems.
You will lead 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.

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

Nice To Haves

• 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

Responsibilities

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees