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Staff Data Scientist - Behavior Evaluation

Staff Data Scientist evaluates behavior in autonomous driving systems by analyzing large-scale fleet and simulation data, developing ML algorithms for feature engineering and model optimization, and ensuring safety through rigorous testing. Requires Master's/PhD and 8+ years experience in data science with Python and ML expertise.

256k – 307kFoster City, CAData ScienceHybrid8+ YOE

About the role

Responsibilities

  • 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, 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

Pythonscikit-learnpandasSQLSparkHadoopDeep LearningReinforcement LearningStatistical ModelingData Visualization

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