Staff Data Scientist, Wildfire

Job Summary

Leading the scientific foundation of the Fuel Detection Model, the full-time Staff Data Scientist, Wildfire will work remotely to estimate vegetation structure and wildfire risk using satellite and environmental data while collaborating with ML engineers and product teams.

Key responsibilities

• Lead research on estimating vegetation structure, fuel conditions, and wildfire risk from satellite and environmental data
• Design validation methodologies and ground-truth strategies for model evaluation and uncertainty quantification
• Prototype ML modeling approaches and partner with engineers to implement them in production systems

Required qualifications

• 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, or related fields
• Deep expertise in remote sensing and geospatial analysis, particularly with satellite imagery
• Strong statistical modeling and machine learning skills in Python, using tools like GeoPandas and scikit-learn
• Experience designing validation studies for environmental or geospatial models
• Proven ability to communicate complex scientific concepts to diverse audiences