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    ZO

    Zoox

    Automotive

    Senior Data Scientist - Verification & Validation

    Foster City, United StatesHybridFull-time$256k – $307k / yearPosted 1mo ago
    All Zoox jobs

    Job description

    Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.

    You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects.

    In this role, you will:

    • Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.

    • Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.

    • Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.

    • Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.

    • Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.

    • Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.

    Qualifications:

    • MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
    • Proficiency in Python and SQL with experience in production-quality code
    • Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
    • Experience with large-scale data analysis and statistical modeling
    • Proficiency with Git, unit testing, and collaborative development practices

    Bonus Qualifications:

    • Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines

    • Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks

    • Experience with designing metrics and delivering actionable insights that drive  business decisions

    Job details are sourced from the employer's original posting.

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    About the company

    Zoox

    Zoox is an autonomous vehicle company developing technology to enable safe, efficient, and enjoyable mobility for everyone. They are building a fully autonomous, electric vehicle from the ground up, designed for urban environments.

    View all Zoox jobs
    Industry
    Automotive
    Founded
    2014
    Open roles
    240

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