Data Scientist: Adverse Weather Adaption

Responsibilities

• Develop data driven tools to analyze and utilize weather data, particularly focusing on adverse weather scenarios.
• Define and evaluate metrics of autonomous driving performance under different weather conditions.
• Enhance machine learning model performance within the defined Operational Design Domain (ODD) to ensure the safe operation of autonomous vehicles in adverse weather conditions.
• Collaborate with engineers from sensor fusion, perception, and simulation teams to implement and enforce restricted weather Operational Design Domains (ODDs).

Qualifications

• Master’s or PhD in data science, machine learning, computer science, applied mathematics, or a related field.
• Experience with developing and implementing machine learning models for predictive analysis, pattern recognition, and decision making under uncertainty.
• Proficiency in programming languages such as Python, and experience with machine learning frameworks.
• Proficiency in SQL and working with large-scale data.
• Excellent communication, analytical thinking and problem-solving skills.

Preferences

• Experience with autonomous vehicle technology or robotics.
• Experience with machine learning based data analysis.
• Experience working with weather data or climate models is a plus.