Senior Data Scientist - Collision Avoidance System

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle's overall safety goals. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. This role is within the CAS Validation and Verification team, supporting all of CAS's developers in improving system and component performance across Zoox's operations.

Responsibilities

• You will define key performance metrics for our safety critical perception and prediction system, in order to guide product development to a commercial launch
• You will apply distributed computing algorithms to efficiently analyze petabytes of urban driving data
• You will work closely with software engineers, data engineers, and data scientists to develop metrics and tools for analyzing errors and guiding improvements in our systems
• You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Qualifications

• MS or PhD degree in statistics, computer science, or related field
• 5+ years of experience in a related field
• Proficient with SQL / Spark / Python
• Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, Bayesian inference, and multivariate analysis.
• Experience with designing metrics and delivering actionable insights that drive business decisions

Bonus Qualifications

• Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
• Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
• Experience with model evaluation and metric frameworks for autonomous driving or machine learning applications.