Wildfire Scientist/Programmer

Type: Full-time, Remote

Location: Missoula, MT

Starting Salary: $90,000 to $130,000 annually

Deadline: Reviewed on a rolling basis

Filsinger Energy Partners (FEP) is a premier energy advisory firm delivering sustainable solutions for today’s energy challenges. We leverage our extensive industry experience to provide expert consulting services to utilities, energy companies, financial institutions, and state and federal governments. Our work spans generation, transmission and distribution operations, power market modeling, financial and economic analysis, vegetation management, wildfire mitigation planning, and risk management services.

Leveraging decades of expertise, FEP provides state-of-the-art wildfire simulation services that enable utilities to understand their wildfire risk and develop cost-effective mitigation strategies. By combining advanced technology with deep subject matter expertise, FEP empowers clients to integrate risk analytics into their operations, driving long-term risk reduction and resilience. Our holistic approach ensures that utilities can turn data into actionable insights, building effective, sustainable wildfire mitigation programs.

Duties and Responsibilities:

We are seeking an experienced and highly technical Wildfire Scientist/Programmer to join our wildfire risk team. The successful candidate will have strong analytical skills, particularly in quantitative data analysis, along with extensive experience in programming, geospatial analysis, and wildfire science. This role is critical to advancing our wildfire simulation capabilities and delivering cutting-edge solutions to our clients.

We recognize that a successful candidate may not possess every skill listed but can contribute significantly based on their unique background. Depending on your expertise, you may work on projects such as:

  • Development of scientifically rigorous model validation process for wildfire simulations.

  • Utilize remote sensing technologies and machine learning to improve precision of wildfire fuel mapping.

  • Development of automated workflows to streamline wildfire simulation tasks.

  • Maintaining a Python code repository that supports long-term project scalability and reproducibility.

  • Analyzing complex datasets to identify trends that can enhance modeling outcomes.

  • Developing reports, presentations, and technical documentation to communicate findings to clients and stakeholders.

Qualifications:

  • Proficiency in programming with Python or R, focusing on data analysis and model validation.

  • Demonstrated experience with remote sensing software (e.g., ENVI, ERDAS).

  • Expertise in coding for geospatial applications, including geospatial analysis using GIS tools for data visualization and mapping.

  • Exceptional problem-solving abilities and a proven track record of working both independently and collaboratively.

  • Excellent communication skills, with the capacity to present complex data clearly to various audiences.

Education/Experience:

  • Masters degree in GIS, Computer Science, Statistics, Forestry, or a related field.

  • 5-10 years of experience in programing, GIS, data analysis, and/or wildfire science.

Compensation Range:

The estimated compensation range for this position is $90,000 to $130,000 a year for a full-time, exempt position. FEP takes into consideration a candidate’s education, training, and experience, as well as the employee’s work location.

Benefits Summary:

  • Medical, Dental and Vision Insurance

  • Disability, Life and AD&D Insurance

  • Paid Time Off

  • 401(k) with company contribution

  • Flexible spending account

  • Health savings account

  • Discretionary Bonus based on firm and individual performance

  • Referral program and Employee discounts

  • Employee assistance program

Work Location: Remote; preference for Missoula, Montana.

Application Requirements:

  • Please submit a cover letter and resume to: Kevin Vogler - Email: KevinV@FilsingerEnergy.com

  • Applications will be reviewed on a rolling basis