Senior Safety Data Scientist

Aurora is working to deliver the benefits of self-driving technology safely, quickly, and broadly. We are searching for a Senior Safety Data Scientist to support the development of quantitative safety arguments and tooling infrastructure. You will apply statistical analysis, machine learning, and probabilistic modeling to inform safety strategy and support external safety communications. You will collaborate with stakeholders across software, systems, hardware, data science, data infrastructure, operations, product, legal, and government relations to shape the future of autonomous vehicle safety.

In This Role, You Will:

• Design and deploy safety related data pipelines, models, tooling, and infrastructure in partnership with technical and non-technical stakeholders.
• Execute in-depth safety analysis on operational and simulation data, distilling complex findings into immediate, actionable risk mitigation strategies.
• Implement safety-related initiatives in alignment with safety goals and best practices.
• Develop safety related processes and reporting for organizational, operational, and product data to ensure accuracy and consistency.
• Support the identification of systemic, latent, and emerging risks in fleet operations to advance root cause analyses and implement appropriate risk management measures.

• Define and evolve safety metrics by designing and validating novel measures using hypothesis testing and exploratory analysis.

• Audit and validate technical safety evidence and artifacts spanning the breadth of self-driving technology (hardware, software, and operations) to ensure alignment with quantitative safety arguments and regulatory standards through enterprise tool suites
• Conduct root cause analysis for safety issues and support the formulation of specific, data-backed corrective actions.
• Lead the quantitative development of internal and external reports (e.g., Voluntary Safety Self Assessment) and public statements, ensuring safety arguments are statistically robust.
• Present and expertly communicate the output of technical analysis to both technical and non-technical audiences.
• Development of new processes and procedures related to safety metrics, data integrity, and issue handling.

Required Qualifications

• Bachelor's/Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience.
• 5+ years of industry experience solving complex problems
• Proficiency in programming languages such as Python and R
• Experience building and deploying models using Amazon Web Services (AWS) tools, e.g. AWS Bedrock, Redshift
• Experience working with data transformation tools such as DBT
• Knowledge and experience with relational databases (SQL) and data warehouses
• Strong skills for querying, analyzing, and visualizing large datasets
• Expertise in applied statistics, exploratory data analysis, hypothesis testing, and probabilistic modeling
• Experience in machine learning techniques
• Effective written and verbal communication skills to present work with, and present technical analysis to, both technical and non-technical audiences

• Ability to work independently and as part of a cross-functional team

Desirable Qualifications

• Experience working in a safety-related domain 
• Knowledge of automotive domain and relevant safety standards
• Experience in the Autonomous Vehicles, Aerospace, or Robotics domains

The base salary range for this position is $146,000 - $211,500 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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#Mid-Senior