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Posted 4 months ago

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Staff Data Scientist - Behavior Evaluation

Foster City, CAHybridFull-time

AI Summary

Staff Data Scientist at Zoox analyzing large-scale autonomous driving datasets, developing and evaluating ML algorithms, validating model safety and reliability, and mentoring junior team members.

About this role

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment.

In this role, you will:

  • Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
  • Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
  • Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
  • Communicate complex technical findings and recommendations to both technical and non-technical audiences.
  • Mentor and provide technical guidance to junior data scientists and engineers.

    • Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
  • Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
  • Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
  • Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
  • Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.

    • Bonus Qualifications

  • Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
  • Experience with real-time data processing and low-latency systems.
  • Publications in top-tier machine learning or autonomous driving conferences.

    • Skills

    Data VisualizationDeep LearningHadoopMachine LearningPandasPythonReinforcement LearningSciKit-LearnSparkSQLStatistical Modeling

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