Senior/Staff Data Scientist, Quantitative Risk Assessment

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{
  "lists": [
    {
      "text": "In this role, you will:",
      "content": "<ul style=\"list-style-type: disc;\">\n<li>\n<p>Lead efforts to improve the fidelity of Zoox’s safety and progress performance metrics</p>\n</li>\n<li>\n<p>Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data</p>\n</li>\n<li>\n<p>Develop and standardize best practices of safety risk assessment across the company</p>\n</li>\n<li>\n<p>Develop and automate the tooling of the the risk assessment framework</p>\n</li>\n<li>\n<p>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.</p>\n</li>\n</ul>"
    },
    {
      "text": "Qualifications",
      "content": "<div>\n\n<li>\n<p>M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science</p>\n</li>\n<li>\n<p>Proficiency in quantitative analysis/modeling tools</p>\n</li>\n<li>\n<p>Proficient with SQL / Spark / Python for interfacing with Zoox’s urban driving and simulation data</p>\n</li>\n<li>\n<p>At least 3 years of relevant work experience in understanding and quantifying safety risks</p>\n</li>\n<li>\n<p>Collaborative team player with strong written and in-person communication skills</p>\n</li>\n\n</div>"
    },
    {
      "text": "Bonus Qualifications",
      "content": "<div>\n\n<li>\n<p>Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus</p>\n</li>\n<li>\n<p>Publications in the field of quantitative risk assessment for safety engineering</p>\n</li>\n<li>\n<p>Experience with human behavior data</p>\n</li>\n\n</div>"
    }
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    "team": "Systems Engineering - Safety",
    "location": "Foster City, CA",
    "department": "System Design and Mission Assurance",
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