Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Risk & Safety Data Science sub-team of Aurora Data Solutions (ADS) needs to generate insights and intelligence to safely and broadly commercialize autonomous vehicle technology by leveraging on-road and simulated data to accelerate the development of the Aurora Driver, identifying key drivers of risk and informing critical decisions about our safety case.
Requirements
- Deep technical understanding of statistical analysis, machine learning, and data modeling, and a track record of applying these skills to complex, real-world problems.
- Experience working with data transformation tools such as DBT
- Experience working on ETL pipelines and leveraging big data engines
- Experience using Amazon Web Services (AWS) tools
- Strong understanding of safety engineering principles (e.g., risk assessment, hazard analysis) and experience applying data science to validate safety claims and improve system reliability.
- Deep domain expertise in the autonomous vehicle industry, with a focus on safety standards, regulatory frameworks, and OEM partnerships.
- Proven track record of building and managing data teams that directly support safety-critical product development and regulatory compliance.
Responsibilities
- Define and execute the data science strategy for the Risk & Safety sub-team, ensuring alignment with the broader Aurora Data Solutions charter and company objectives.
- Oversee the development of core safety models, metrics, and analyses, ensuring technical rigor and relevance to our safety case and product development.
- Act as a leader in the broader Aurora Data Solutions team, championing data governance, tooling strategy, and analytics best practices.
- Serve as a primary liaison with key stakeholders across the Safety, Hardware, and Software engineering organizations to identify needs and prioritize data science initiatives.
- Manage the team's project portfolio, balancing immediate business needs with long-term strategic investments.
- Communicate the team’s mission and successes to senior leadership, demonstrating the value of data science in achieving our safety and commercialization goals.
- Lead, mentor, and grow a team of data scientists and analysts, helping them develop their skills, define career paths, and deliver high-impact work.
Other
- A minimum of 10+ years of experience in data science, analytics, or a related field, with at least 5 years in a leadership or management role.
- Demonstrated success in building, leading, and managing high-performing data science teams.
- Proven ability to develop and execute a data strategy that delivers measurable business impact.
- Exceptional communication and interpersonal skills, with the ability to influence and build strong relationships with cross-functional partners and senior leadership.
- Advanced degree (MS or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field
