Forest Carbon Modeling Manager

General Summary: Anew seeks a Manager of Forest Carbon Modeling to play a role in the Anew forest carbon modeling team and support project implementation efforts in the forest carbon space. The successful candidate will have a unique mix of technical and practical skills, is a fast learner, and is passionate about the forest carbon space. Day-to-day responsibilities will cover a broad spectrum of activities ranging from developing silvicultural prescriptions, optimizing project baseline harvest schedules, or participating in field verifications, to articulating project quantification methods for verifiers. The ideal candidate will be comfortable spending most of their time in the office but will enjoy occasional opportunities to work in the woods. This is an excellent opportunity for a technically skilled forestry professional seeking a dynamic position in the center of the forest carbon market.

Primary Responsibilities and Competencies:

• Support forest carbon modeling efforts for both voluntary and compliance offset projects
• Collaborate with technical team to balance multiple projects while meeting strict timelines
• Modify and improve modeling processes using various tools (e.g., R, SQL, ArcGIS, Excel, VBA)
• Prepare inventory and other data needed to model voluntary and compliance forest offset projects
• Conduct silvicultural research and conduct interviews with local experts across project regions
• Develop project and baseline harvest prescriptions while optimizing credit generation
• Perform statistical analyses and database management of forest inventories
• Draft carbon project documentation
• Manage and edit spatial files for projects
• Respond to verifier, registry, and/or CA ARB findings/questions
• Compare financial returns of various forest management strategies
• Prepare written project documents for verifiers, managers, and clients
• Less than 10% travel is required, primarily to team events and/or conferences

Required Education, Experience and Certification:

• At least 1-year of experience in a forestry-related occupation
• Master’s or PhD degree in forestry or environmental science
• Advanced proficiency using Microsoft Excel, database manipulation programs, and spatial data manipulation
• Experience in forest biometrics and statistical analysis
• Ability to develop scripts in R, perform basic debugging, and a identify/streamline/automate processes
• Experience in application of GIS (Geographic Information Systems) programs (e.g., ArcGIS software)
• Experience using at least one peer-reviewed forest growth simulation tool that applies to at least one North American forest type (e.g., Forest Vegetation Simulator, OSM)
• Experience with forest inventories, forest management plans, and timber harvest plans
• Experience working in a variety of North American forest types is preferred
• Experience cleaning and wrangling data, identifying issues, and troubleshooting data
• Experience communicating in a team environment

Preferred Education, Qualifications & Experience:

• PhD degree in forestry or forest sciences
• 2+ years of experience in a forestry-related occupation
• Proven ability to develop advanced scripts in R for data analysis and data manipulation
• Advanced knowledge of forest biometrics
• Advanced knowledge of at least one growth and yield model
• Advanced proficiency using Microsoft Excel, databases, and ArcGIS
• Experience in the application of remote sensing for forestry
• Experience in linear programming and optimization, in the context of harvest scheduling
• Familiarity with voluntary/compliance forest carbon protocols in North America
• Experience developing and/or implementing forest management plans and/or harvest plan design
• Experience using databases, including experience using SQL (Structured Query Language) to query databases, analyze data, and create reports
• Experience working with version control software in a team environment (e.g., Github)
• Strong interest in climate change and environmental issues

Skills:

• Advanced experience with coding and debugging in at least one programming language; R is preferred
• Advanced Excel Skills
• Experience with design and construction of robust database solutions to facilitate the efficient storage and retrieval of historical data.
• Experience cleaning and wrangling data
• Experience using forest management plans and/or harvest plan design
• Experience using and calibrating growth and yield models to model forest growth
• Experience in ArcGIS mapping and analysis
• Solid understanding and practical experience with version control systems, particularly Git, to manage and track changes in code across our collaborative development environment.
• Experience with enforcing coding standards and developing unit and functional testing to ensure code reliability and application functionality.
• Skilled in statistical analyses
• Experience working and communicating in a team environment
• Highly self-motivated