Staff Data Scientist

Number of employees

2600

Foster City, CA, United States

Posted on: 2025-01-29

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


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.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $217,000 to $309,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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
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