Staff Data Scientist - Behavior Evaluation

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.