Staff Safety Data Scientist, Safety Analysis

<div class="content-intro"><p><strong>Who we are</strong></p> <p style="margin: 0px; padding: 0px;">Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</p> <p style="margin: 0px; padding: 0px;"><br><a class="c-link c-link--focus-visible" href="https://aurora.tech/aurora-driver" target="_blank" data-stringify-link="https://aurora.tech/aurora-driver" data-sk="tooltip_parent">The Aurora Driver</a>&nbsp;will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</p> <p style="margin: 0px; padding: 0px;">&nbsp;</p> <p style="margin: 0px; padding: 0px;">At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit&nbsp;<a href="https://aurora.tech/" target="_blank">aurora.tech</a>&nbsp;or follow us on&nbsp;<a href="https://www.linkedin.com/company/auroradriver" target="_blank">LinkedIn</a>.</p> <p style="margin: 0px; padding: 0px;">&nbsp;</p></div><p>We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.</p> <p><strong>In This Role, You Will:</strong></p> <ul> <li>Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).</li> <li>Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.</li> <li>Design and automate data collection and analysis to support ongoing safety programs.</li> <li>Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze sa