Senior/Staff Data Scientist, Quantitative Risk Assessment

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company.

As a data scientist focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decision-making in every aspect of the technology.

M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science

Proficient with SQL / Spark / Python for interfacing with Zoox’s urban driving and simulation data

At least 3 years of relevant work experience in understanding and quantifying safety risks

Collaborative team player with strong written and in-person communication skills

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Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus

Publications in the field of quantitative risk assessment for safety engineering

Lead efforts to improve the fidelity of Zoox’s safety and progress performance metrics

Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data

Develop and standardize best practices of safety risk assessment across the company

Develop and automate the tooling of the the risk assessment framework

Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Software, Hardware, Vehicle Development, Fleet Operations, Safety Strategy and Operations, Legal, etc.