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.
About the job
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
Python, scikit-learn, pandas, SQL, Spark, Hadoop, Deep Learning, Reinforcement Learning, Statistical Modeling, Data Visualization
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