Machine Learning Wildfire Scientist - Remote

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 ongoing evaluation efforts.
• Identify and develop new data inputs for the Wildfire Model.

Requirements

• Ph.D. in wildfire science or a related subject.
• Experience in fire behavior modeling and quantitative analysis.
• Strong foundation in modeling fire behavior and wildfire processes.
• Expertise with remotely sensed data and big data analysis.
• Experience with wildfire behavior and risk modeling.
• Expertise in using compiled and scripted languages.
• Ability to work in a fast-paced team environment.

Benefits

• Competitive salary commensurate with experience.
• Ownership interest in the company via Employee Stock Option Plan.
• Hybrid Schedule with in-office work days.
• 15 vacation days along with 13 company holidays.
• Health benefits covered at 100% for employee.
• 12 weeks of paid parental leave.
• Company 401k program.