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Data Scientist - Behavior Evaluation

Job in Foster City, San Mateo County, California, 94420, USA
Listing for: Zoox
Full Time position
Listed on 2026-04-17
Job specializations:
  • Engineering
    AI Engineer
Salary/Wage Range or Industry Benchmark: 256000 - 307000 USD Yearly USD 256000.00 307000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist - Behavior Evaluation

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting‑edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self‑driving systems. You will work closely with a team of talented engineers and researchers in a fast‑paced, collaborative environment.

In

This Role, You Will
  • Analyze large‑scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
  • Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
  • Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
  • 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 8+ years of experience as a Data Scientist.
  • Strong programming skills in Python, including experience with relevant libraries such as scikit‑learn, Pandas, and SQL.
  • Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
  • Experience working with large‑scale datasets and distributed computing platforms (e.g., 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 working with autonomous driving data and algorithms, robotics, control systems or related fields.
  • Experience with real‑time data processing and low‑latency systems.
  • Publications in top‑tier machine learning or autonomous driving conferences.

$256,000 - $307,000 a year

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

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