Field Reliability Analyst at Zoox in Foster City, CA

Summary: Zoox is transforming mobility with fully autonomous, electric vehicles designed for a driverless future. The Reliability Data Analyst role involves analyzing data from the autonomous vehicle fleet to support reliability and safety initiatives, collaborating with engineering teams to develop metrics and tools for continuous improvement. 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 Required Qualifications: - 1–3 years of professional experience (or equivalent academic/project experience) in data science, analytics, reliability engineering, or a related field - 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 Preferred Qualifications: - 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 Required Skills: SQL, Python, Statistical analysis Important Skills: Data pipelines, Version control (Git) Nice-to-Have Skills: Data visualization, Physics knowledge 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