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Zoox

Fully electric autonomous ride-hailing service platform

Data Scientist - Behavior Evaluation

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeFoster City, CA, USA$227k - $307k /yrHybrid

About the Job

Requirements

  • A 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 scikit-learn, Pandas, and SQL.
  • Expertise in machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
  • Experience working with large-scale datasets and distributed computing platforms such as Spark or Hadoop, with a solid understanding of data processing, feature engineering, and data visualization techniques.
  • Strong communication and presentation skills, with the ability to convey technical information to diverse audiences.

Responsibilities

  • Analyze large-scale datasets from fleet and simulation data to extract actionable insights.
  • Develop and evaluate algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
  • Evaluate and validate model performance through testing and analysis to ensure system safety and reliability.
  • Communicate technical findings and recommendations to technical and non-technical audiences.
  • Mentor and provide technical guidance to junior data scientists and engineers.

Desired 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.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2014

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