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  3. Senior Safety Data Scientist
Aurora logo

Senior Safety Data Scientist

Aurora
Pittsburgh, Pennsylvania
Full Time
Posted December 2, 2025
$146k - $212k
Not Specified
Apply Now

Application opens on company website

Job Description

The Senior Safety Data Scientist at Aurora is responsible for developing quantitative safety arguments, analyzing operational and simulation data, and supporting safety strategies for autonomous vehicle technology through statistical analysis, machine learning, and infrastructure development.

Key Responsibilities

  • Design and deploy safety-related data pipelines, models, tooling, and infrastructure.
  • Conduct in-depth safety analysis on operational and simulation data to identify risks.
  • Develop safety metrics and validate measures through hypothesis testing and analysis.
  • Audit and validate safety evidence across hardware, software, and operations to ensure regulatory compliance.
  • Support root cause analysis of safety issues and recommend data-backed corrective actions.
  • Lead the development of safety reports and communicate safety analysis findings to technical and non-technical audiences.
  • Implement safety initiatives aligned with safety goals and best practices.
  • Create safety processes and reporting systems to ensure data accuracy and consistency.
  • Identify systemic, latent, and emerging risks in fleet operations to inform risk mitigation strategies.

Requirements

  • Bachelor's or Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience
  • At least 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 and technical analysis to both technical and non-technical audiences
  • Ability to work independently and as part of a cross-functional team

Benefits & Perks

Compensation/salary range: $146,000 - $211,500 per year
Annual bonus
Equity compensation
Benefits (unspecified)

Ready to Apply?

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