The individual in this role will lead a data science team focused on evaluating the ability of the autonomous driving system to comply with road rules. Responsibilities include defining measurement rigor and ensuring evaluation signals support deployment and scaling decisions. The role involves developing evaluation frameworks that function across multiple countries and collaborating with product and engineering teams to reach deployment milestones. The position requires measuring performance in new territories and on various hardware platforms to assess market readiness. Additionally, the lead will frame ambiguous technical problems, innovate on statistical methods, and provide technical guidance to team members.

Candidates must hold a degree in a quantitative field such as Statistics, Mathematics, or Physics. The role requires either a PhD with at least 8 years of industry experience or 12 years of industry experience in data science. Applicants must demonstrate expertise in advanced statistical methods, familiarity with machine learning systems, and proficiency in Python, R, or SQL. Furthermore, the position necessitates a background in technical leadership and people management within cross-functional environments.