Senior / Staff Data Scientist - Autonomy Performance Metrics

Job Description

This job posting has expired and no longer accepting applications.

We are seeking a highly skilled and experienced Data Scientist to join our Autonomy Software Integration Metrics team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in metric design and development, and ensuring the discovery and delivery of critical insights to decision makers. You will work closely with a team of talented engineers and data scientists in a fast-paced, collaborative environment.

In this role, you will:

Develop measurement strategies to measure the performance of the AV in detailed scenarios in both simulation and real world contexts.

Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.

Design and implement performance reporting pipelines that can drill down to reveal critical insights.

Communicate complex technical findings and recommendations to both technical and non-technical audiences.

Mentor and provide technical guidance to junior data scientists and engineers.

Qualifications

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 5+ years of experience as a Data Scientist.

Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.

Expertise in designing and building performance metrics.

Experience working with large-scale datasets and distributed computing platforms (e.g., Bigquery, Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.

Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.

Bonus Qualifications

Experience with AV metrics

Proficiency in a wide range of classical machine learning techniques, statistical modeling, experimental design

Basic proficiency in C++ (able to review/understand codebase)

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 $192,500 to $290,000. 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.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.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.

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