Data Scientist, Behavior Evaluation

Requirements

• Education: Bachelor's or Master's degree in a highly quantitative field (e.g., Statistics, Mathematics, Data Science, Operations Research, or a related field with a strong statistical focus).
• Experience: 3-6+ years of professional experience as a Data Scientist or Quantitative Engineer, with a proven track record of landing data-driven impact.
• Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data.
• Strong Programming: High proficiency in Python (Pandas, NumPy, SciPy, scikit-learn) and the ability to write highly complex, optimized SQL queries for massive distributed databases.
• Communication: Exceptional ability to articulate complex mathematical methodologies and statistical results to cross-functional engineering partners.

Additional Information

As a Data Scientist on the Behavior Evaluation team, you will be the statistical anchor ensuring our autonomous driving systems navigate highway environments with world-class safety, efficiency, and comfort. Highway evaluation presents a unique industry challenge: verifying vehicle behavior at high velocities where the margin for error is razor-thin, and critical edge cases are buried in petabytes of data. In this role, you will bridge advanced statistical methodology with scalable software engineering. You will design the mathematical frameworks, statistical tests, and data-driven metrics that evaluate our planner's decisions. Working directly with large-scale simulation and real-world fleet data, your insights will define our validation pipelines, identify behavioral regressions, and directly shape the software powering our next-generation autonomous fleet. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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