Aurora · 2 days ago
Senior Safety Data Scientist
Aurora is committed to delivering the benefits of self-driving technology safely and efficiently. They are seeking a Senior Safety Data Scientist to develop quantitative safety arguments and tooling infrastructure, utilizing statistical analysis and machine learning to inform safety strategies and collaborate with various stakeholders.
AutomotiveAutonomous VehiclesElectric VehicleTransportation
Responsibilities
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
Qualification
Required
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
Preferred
Experience working in a safety-related domain
Knowledge of automotive domain and relevant safety standards
Experience in the Autonomous Vehicles, Aerospace, or Robotics domains
Benefits
Annual bonus
Equity compensation
Benefits
Company
Aurora
Aurora is building self-driving technology to operate multiple vehicle types, from freight-hauling trucks to ride-hailing passenger ones.
H1B Sponsorship
Aurora has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (51)
2023 (91)
2022 (77)
2021 (38)
2020 (51)
Funding
Current Stage
Public CompanyTotal Funding
$4.19BKey Investors
UberSequoia Capital
2024-08-01Post Ipo Equity· $483M
2023-07-19Post Ipo Equity· $820M
2021-11-04Post Ipo Equity· $1.8B
Recent News
2025-12-24
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