About the CompanyAt 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 TeamAs 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 DoEmploy statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to riskApply 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 datasetsBridge safety and engineering teams by translating complex analyses into information engineers can act onDevelop automated, production-ready analysis workflows that support continuous safety monitoringSelect and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriateCommunicate statistically defensible findings to technical leaders, safety stakeholders, and executivesWhat You’ll Need to SucceedAdvanced degree in Statistics or a closely related fieldM.S. with 3+ years of experience, or PhD with 1+ years of experienceStrong background in applied statistics, safety analysis, and risk estimationExperience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experienceExperience working with complex, real-world datasets rather than clean or purely academic dataHands-on experience using Python for analysis (SQL and/or R a plus, but not required)Ability to communicate statistical concepts clearly to non-statistical audiencesComfort operating independently as a technical leader in a cross-functional, distributed environmentDomain knowledge in Bayesian methodsBonus PointsExperience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)Background applying statistics to engineering or physics-based systemsFamiliarity with time-series analysis, uncertainty quantification, or rare-event modelingExperience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timelinessPerks of Being a Full-time Torc’rTorc 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 options100% paid medical, dental, and vision premiums for full-time employees401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closuresAD+D and Life InsuranceAt 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,
6 days ago