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    Staff Data Scientist - Verification & Validation

    Posted 15 days ago

    Job Description

    Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff 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.

    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

    • Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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    Zoox

    11 jobs posted

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    About the job

    Posted on

    Mar 27, 2026

    Apply before

    Apr 26, 2026

    Job typeFull-time
    CategoryData Science
    Location
    Foster City, CABoston, MA
    Skills
    python

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