Remote Sensing Wildfire Fuels Specialist

Overview

We are looking for a Scientist with expertise in data analysis and modeling of wildfires and the fire environment, strong machine learning and data science skills, and demonstrable experience working with remotely sensed data sources to join our team.

In Short

• Collaborate with wildfire, climate science, and data science teams to build global wildfire risk models.
• Estimate wildfire fuels using a combination of in situ and remotely sensed data.
• Introduce innovative methods to improve wildfire risk model performance.
• Manage fire model production, quality control, and evaluation efforts.
• Identify and develop new data inputs for the First Street Wildfire Model.
• Ph.D. in wildfire science or related field required.
• Strong foundation in modeling fire behavior and wildfire processes.
• Expertise in statistics and Machine Learning.
• Experience with big data analysis and cloud computing.
• Ability to work in a fast-paced team environment.

Requirements

• Ph.D. in wildfire science or a related subject.
• Experience in fire behavior modeling and quantitative analysis.
• Understanding of modeling fire behavior and wildfire processes.
• Expertise with remotely sensed data and cloud computing.
• Experience with wildfire behavior and risk modeling in the Wildland Urban Interface (WUI).
• Expertise in probability and statistics related to fire ignition analysis.
• Proficiency in programming languages such as Python and MATLAB.
• Experience with GIS software like QGIS and ArcGIS.
• Ability to collaborate and lead projects.

Benefits

• Competitive salary commensurate with experience.
• Ownership interest via Employee Stock Option Plan.
• Hybrid schedule with in-office work days.
• 15 vacation days and 13 company holidays.
• Health benefits covered at 100% for employees.
• 12 weeks of paid parental leave.
• Access to health services and a 401k program.
• Life insurance and commuter benefits.
• Weekly team meals and office snacks.