Reliability Data Analyst

Zoox is transforming mobility with fully autonomous, electric vehicles designed for a driverless future. As a Reliability Data Analyst, you will analyze data from the autonomous vehicle fleet to support reliability and safety initiatives while collaborating with engineering teams to improve system performance and vehicle availability.

Responsibilities

• Analyze fleet, vehicle, and operational data to support reliability, safety validation, and service readiness initiatives
• Partner with Reliability Engineering and Mission Assurance to help define and track key performance metrics
• Build and scale end-to-end predictive frameworks to monitor component/subsystem health, degradation trends, and real-world usage patterns
• Build and maintain data pipelines, queries, and dashboards to enable visibility into system health and performance
• Perform statistical analyses to identify trends, anomalies, and improvement opportunities across hardware and software systems
• Support investigations into vehicle issues by cleaning, aggregating, and visualizing large datasets
• Contribute to best practices around data quality, reproducibility, and analytical rigor
• Communicate findings clearly to technical stakeholders through written summaries, visualizations, and presentations

Skills

• 1–3 years of professional experience (or equivalent academic/project experience) in data science, analytics, reliability engineering, or a related field
• BS or MS degree in an engineering discipline or equivalent experience
• Working proficiency in SQL for querying relational databases
• Working proficiency in Python and common data analysis libraries (Pandas, NumPy, SciPy)
• Foundational understanding of statistics and the ability to communicate uncertainty and assumptions
• Experience building analyses, metrics, or dashboards to support engineering or business decisions
• Familiarity with version control systems (Git)
• General knowledge of physics and engineering principles
• Strong communication skills and ability to collaborate across engineering teams
• Exposure to Spark or large-scale data processing environments (e.g., Databricks)
• Coursework or experience in reliability engineering, statistical inference, or system performance analysis
• Experience working with hardware, automotive, or embedded system data
• Familiarity with geospatial data
• Interest in autonomous vehicles, robotics, or complex cyber-physical systems
• Exposure to machine learning or experimentation frameworks

Benefits

• 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
• Life insurance

Company Overview

Company H1B Sponsorship