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Staff Data Scientist - Zoox

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Job Title
Staff Data Scientist
Job Location
Foster City, CA
Job Description
The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will be responsible for the research and development of algorithms to manage our fleet, including pricing, allocation, and ETA. You will play a key role in enabling Zoox to scale. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry.
In this role, you will:
  • Collaborate with product software to deploy your models for fleet allocation, ETA, and pricing
  • Design algorithms to automatically allocate vehicles to deliver a premium experience to our customers
  • Establish best practices and statistical rigor around data-driven decision-making
  • Qualifications
  • Deep knowledge of Economics, Operations Research, or Mathematical Optimization
  • Experience driving decision-making at various levels in an organizationFamiliarity with SQL, Python, R, or Scala
  • Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders
  • Experience designing metrics and building mechanisms to fuel business insights
  • Bonus Qualifications
  • Basic fluency in C++
  • Experience with geospatial data analysisExperience with Spark or large-scale data analysis
  • Familiarity with or exposure to experimentation platforms
  • Everything You Need, One Platform.

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    Zoox Headquarters Location

    Foster City, CA

    View on map

    Zoox Company Size

    Between 2,000 - 5,000 employees

    Zoox Founded Year

    2014

    Zoox Total Amount Raised

    $1,005,000,000

    Zoox Funding Rounds

    View funding details
    • Convertible Note

      $200,000,000 USD

    • Series B

      $465,000,000 USD

    • Series A

      $50,000,000 USD

    • Series A

      $250,000,000 USD

    • Seed

      $40,000,000 USD