Senior Data Scientist, Autonomy Behavior Monitoring

Job Description

Job Description

Zoox is building the world's first purpose-built robotaxi, and our ability to scale safely to new geographies and driving challenges depends on our capacity to measure and understand autonomous vehicle behavior. We are looking for a Data Scientist to join our Autonomy Integration Metrics team, where you will partner closely with behavior engineers and product stakeholders to develop and implement the metrics that define how well our system drives.

In this role you will :

• Design, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences

• Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions

• Identify performance gaps and regressions by analyzing large-scale vehicle logs and simulation data

• Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions

• Communicate findings and metric frameworks clearly to technical and non-technical audiences

Qualifications:

• B.S. or M.S. in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience)

• 5+ years of experience in data science, with a focus on metric design and development or performance evaluation

• Strong proficiency in Python in production environments with standard repo practices

• Experience working with time-series or sensor data; familiarity with robotics or AV data is a plus

• Ability to work cross-functionally and distill complex technical requirements from diverse stakeholders

Bonus Qualifications:

• Proficiency in C++

• Experience with simulation-based validation and metrics

Base Salary Range

 

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

 

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.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on ziprecruiter.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.