Data Scientist - Perception Verification and Validation
Zoox
Automotive Engineering
Boston, MA - USA
Specialist
Hybrid
Experteer Overview
In this role you will help validate Zoox’s perception stack for autonomous driving. You will work with data scientists and engineers to develop datasets and metrics that quantify performance and drive feature impact assessment. You will analyze large-scale results to identify failure patterns and present insights to leadership. You will design statistical methods to quantify uncertainty in performance metrics, enabling informed decisions and improvements. This is a hands-on role in a fast-moving, cross-functional team with a clear impact on system reliability and safety.
Compensation / Benefits
- paid time off
- health insurance
- long-term disability insurance
- life insurance
- Zoox Stock Appreciation Rights
- Amazon RSUs
Responsibilities
- Define performance metrics for the perception stack and end-to-end system
- Create and maintain evaluation datasets for perception and driving performance
- Analyze large-scale metric results to identify failure modes and patterns
- Present results and insights to leadership
- Design and implement statistical methods to quantify uncertainty in metrics
Key requirements
- Master's or PhD in Statistics, Mathematics, Computer Science, or a related field
- Proficient in SQL and/or Spark/Scala and Python for production-quality code
- Basic experience with autonomous driving, safety-critical systems, or computer vision
- Proficient in exploratory data analysis (EDA) and data visualization
- Background in statistical modeling and data-driven decision making that link uncertainty to business impact
Description
In this role you will help validate Zoox’s perception stack for autonomous driving. You will work with data scientists and engineers to deve…
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