Lead Data Scientist, Autonomous Driving

<h2>About the Team</h2> <p>Our team is responsible for understanding how our technology performs and turning that understanding into confident decisions. We bring together simulation data, real-world driving data, structured test results, and human-labeled data to evaluate the stack end to end. We collaborate across the stack and deliver analytics on a wide range of technology aspects, from low-level hardware and performance to behavior quality in specific road scenarios. We answer questions from issues with system performance in specific conditions to how ready we are overall to launch from a safety perspective.</p> <h2>About the Role</h2> <p>We are building the analytics function and looking for people with a leadership mindset and deep analytics experience. You will lead a focus area in evaluation and experimentation, help hire and shape the IC team, guide analysts on scope and methods, and work closely with partner teams. You will integrate simulation and on-road evidence, use a broad toolkit of analytical methods, and produce clear, action-oriented outputs for stakeholders. You are comfortable staying hands-on as an individual contributor.</p> <h2>What You’ll Do</h2> <ul> <li><strong>Understand the technology deeply.</strong><span class="Apple-converted-space"> </span>Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.</li> <li><strong>Help build and lead the team.</strong><span class="Apple-converted-space"> </span>Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.</li> <li><strong>Be hands-on with experiments.</strong><span class="Apple-converted-space"> </span>Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.</li> <li><strong>Build and automate analysis.</strong><span class="Apple-converted-space"> </span>Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.</li> </ul> <h2>What You’ll Need</h2> <ul> <li><strong>Experience:</strong><span class="Apple-converted-space"> </span><strong>4+ years</strong><span class="Apple-converted-space"> </span>in analytics for a large-scale