Safety Statistician, III - Risk & Safety Analysis

Algolux
Algolux

Remote

USD 145,900-175,100 / year + Equity

Posted on Jun 24, 2026
<p><strong><span data-contrast="auto">About the Company</span></strong><span data-contrast="auto"> </span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.</span><span data-contrast="auto"> </span><a href="https://torc.ai/daimler-testing-automated-trucks-public/"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Now a part of the Daimler family</span></span></a><span data-contrast="auto">, we are focused solely on developing software for automated trucks to transform how the world moves freight. </span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">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. </span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Meet the Team</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">As a&nbsp;Safety Statistician – Risk &amp; Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">You will&nbsp;influence&nbsp;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.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">What&nbsp;You’ll&nbsp;Do</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Employ&nbsp;statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data&nbsp;(e.g., vehicle and sensor data) and structured safety datasets</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Bridge safety and engineering teams by translating complex analyses into information engineers can act on</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Develop automated, production-ready analysis workflows that support continuous safety monitoring</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Select and defend&nbsp;appropriate statistical&nbsp;approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and&nbsp;leveraging&nbsp;machine learning techniques where appropriate</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">What&nbsp;You’ll&nbsp;Need to Succeed</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Advanced degree in Statistics or a closely related field</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="2"><span data-contrast="auto">M.S. with&nbsp;3+ years of experience, or</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="2"><span data-contrast="auto">PhD with&nbsp;1+ years of experience</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Strong background in applied statistics, safety analysis, and risk estimation</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Experience in autonomous vehicles,&nbsp;adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail,&nbsp;etc.),&nbsp;or&nbsp;comparable&nbsp;actuarial&nbsp;experience</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Experience working with complex, real-world datasets rather than clean or purely academic data</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Hands-on experience using Python for analysis (SQL and/or R a plus, but not&nbsp;required)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Ability to communicate statistical concepts clearly to non-statistical audiences</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Comfort&nbsp;operating&nbsp;independently as a technical leader in a cross-functional, distributed environment</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Domain knowledge in Bayesian methods</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Bonus Points</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Background applying statistics to engineering or physics-based systems</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Experience supporting executive or external stakeholder decision-making&nbsp;requiring&nbsp;quick turnarounds, balancing&nbsp;analytical rigor with&nbsp;timeliness</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Perks of Being a Full-time&nbsp;Torc’r</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">Torc cares about our team&nbsp;members&nbsp;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: </span><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">A competitive compensation package that includes a bonus&nbsp;component&nbsp;and stock options</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">100% paid medical, dental, and vision premiums for full-time employees </span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">401K plan with a 6% employer match</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Flexibility in schedule and generous paid vacation (available immediately&nbsp;after&nbsp;start&nbsp;date)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Company-wide holiday office closures</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">AD+D and Life Insurance </span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><span data-contrast="auto">At Torc,&nbsp;we’re&nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our&nbsp;Torc’rs&nbsp;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.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">Even if you&nbsp;don’t&nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">Our compensation reflects the cost of labor across several geographic markets.&nbsp;Pay is based on&nbsp;a number of&nbsp;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. </span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Job ID:&nbsp;</span></strong><strong><span data-contrast="none">R-102792</span></strong><span data-ccp-props="{}">&nbsp;</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><span style="text-decoration: underline;"><strong>Hiring Range for Job Opening&nbsp;</strong></span></div><div class="title">US Pay Range</div><div class="pay-range"><span>$145,900</span><span class="divider">&mdash;</span><span>$175,100 USD</span></div></div></div>