Staff Data Scientist (Behavior Evaluation)

Join Zoox, a cutting-edge autonomous driving technology company, as a Staff Data Scientist. In this role, you will tackle complex data challenges, drive innovation in machine learning and statistical modeling, and contribute to the advancement of self-driving systems. You will analyze large-scale datasets, develop and evaluate novel algorithms, validate model performance, and communicate technical findings to diverse audiences. Additionally, you will mentor and provide technical guidance to junior data scientists and engineers. Enjoy a range of benefits, including paid parental leave, health insurance, and a supportive work environment.

• Analyzing large-scale datasets from various sources to extract actionable insights and drive innovation in machine learning and statistical modeling.
• Developing and evaluating novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
• Communicating complex technical findings and recommendations to both technical and non-technical audiences, and mentoring junior data scientists and engineers.
• Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences
• Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist
• 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
• Publications in top-tier machine learning or autonomous driving conferences
• Experience with real-time data processing and low-latency systems
• Experience working with autonomous driving data and algorithms, robotics, control systems or related fields