Principal Data Scientist – Storm Management

Principal Data Scientist – Storm Management

Requirements

• Deep expertise in developing a wide range of storm models, including hurricanes, thunderstorms, winter storms, and other extreme weather events
• Proven experience in building hazard models through storm simulations to assess potential severity and intensity
• Strong background in developing risk and impact models to quantify financial losses resulting from storm-related events
• Extensive experience applying AI/ML, statistical, and time-series methodologies to build catastrophic risk models
• Master’s or PhD in Remote Sensing, Environmental Science, Computer Science, or a related field

Responsibilities

• Lead the development of storm catastrophe models, including hurricanes, thunderstorms, winter storms, and other severe weather events
• Build hazard models by running simulations across diverse geographic regions to estimate the severity and intensity of storm impacts
• Design and implement risk and impact models to assess potential losses resulting from storm events
• Develop and apply methodologies for analyzing remote sensing data to extract key variables for storm modeling
• Collaborate with cross-functional teams to translate storm risk outputs into actionable solutions for real-world business challenges
• Plan and execute field surveys and ground-truth data collection strategies to validate and improve model accuracy

Preferred Qualifications

• Experience applying storm risk models within the utility sector