Related skills
sql python data science statistics sparkπ Description
- Lead efforts to improve safety and progress metrics fidelity
- Apply distributed computing to analyze petabytes of urban driving data
- Develop and standardize best practices of safety risk assessment
- Develop and automate tooling for the risk assessment framework
- Collaborate cross-functionally to evolve Zoox Safety Case
π― Requirements
- M.S. or higher in engineering/science with stats/prob/data focus
- Proficiency in quantitative analysis/modeling tools
- Proficient with SQL, Spark, Python for data interfacing
- At least 3 years in understanding and quantifying safety risks
- Collaborative team player with strong communication skills
π Benefits
- Ph.D. in engineering/science with data science/stats focus
- Publications in quantitative risk assessment for safety engineering
- Experience with human behavior data
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