Data Scientist - Autonomy
Job Summary
Job Description
As an Autonomy Data Scientist, you will analyze the performance of the self-driving system in various real-world scenarios. Your work will involve understanding disengagements, success rates, and other key metrics to evaluate system behavior, diagnose issues, and track progress. These insights are crucial for guiding engineering decisions and operational strategy. By providing clear, data-driven evaluations of autonomy performance, you will help Zoox prioritize improvements, measure readiness, and accelerate safe and scalable deployment.
Must have:
- Analyze autonomy performance metrics
- Identify trends and failure modes
- Translate data insights into recommendations
- Partner with autonomy and safety teams
- Shape deployment strategy with analysis
Good to have:
- Experience with geospatial data analysis
- Experience with Spark or large-scale data analysis
- Familiarity with experimentation platforms
- Experience with autonomous vehicles, robotics, or transportation systems
Perks:
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
8 skills required
Job Details
As an Autonomy Data Scientist, you analyze how the self-driving system performs across a wide range of real-world scenarios. Your work focuses on understanding disengagements, success rates, and other key metrics to assess system behavior, diagnose issues, and track progress over time.
These insights are critical for guiding engineering decisions and operational strategy. By delivering clear, data-driven evaluations of autonomy performance, you help Zoox prioritize improvements, measure readiness, and accelerate safe and scalable deployment.
In this role, you will
- Analyze autonomy performance metrics such as disengagements, success rates, and scenario outcomes to assess system readiness
- Identify trends, anomalies, and failure modes using large-scale driving data
- Translate data insights into actionable recommendations that guide engineering priorities and improve system behavior
- Partner closely with autonomy, safety, and operations teams to align on success criteria and validate improvements
- Help shape Zoox’s strategy for safe and scalable deployment by ensuring autonomy decisions are grounded in rigorous analysis
Qualifications
- Experience driving decision-making at various levels in an organization
- Familiarity with SQL, Python, R, or Scala
- Proven ability to define metrics and build scalable analysis pipelines to evaluate complex systems
- Strong communication skills with the ability to translate technical findings into actionable insights
Bonus Qualifications
- Experience with geospatial data analysis
- Experience with Spark or large-scale data analysis
- Familiarity with or exposure to experimentation platforms
- Experience working with autonomous vehicles, robotics, or transportation systems
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 $169,000 to $203,000. 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.
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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.
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