Job Summary

In this role you will provide data management, analysis, and technical support pertaining to forest mensuration, timberland inventory, carbon-focused measurement techniques, and growth & yield modeling across all major timberland investment regions.

Job Responsibilites

• Work closely with the lead forest Biometrician to support forest inventory data collection and timber and carbon modeling.
• Provide critical review and support in the development of decision-support tools used for operational inventory needs, harvest forecast planning and carbon-focused strategic planning.
• Work closely with the lead Biometrician to review and analyze yield projections for use in harvest scheduling, carbon-focused strategic planning, and operational decision making.
• Participate in and support the development of carbon project feasibility assessments, project design and modeling, and verification.
• Support Company efforts to ensure continuous improvement of our inventory systems and measurements, such as cutout analyses and cruise-to-recruise analysis.
• Provide leadership and support in the development of remotely sensed inventory models.
• Support the Company’s acquisition initiatives by providing direction related to inventory verification design, growth & yield modeling, and decision support across multiple timberland investment regions.
• Represent Company in silviculture, tree-improvement, modeling, and other research coops, partnering with operations staff to facilitate technology transfer of knowledge related to ongoing research.
• Support annual carbon accounting analysis, process development and continuous improvement.
• Review and communicate research results for financial analysis and implementation to realize returns from investment in research.

Required Qualifications, Capabilities, and Skills

• MS degree in forestry with a strong concentration in Forest Biometrics or statistics
• Minimum of three years forest biometrics experience.
• Must have good research and analytical skills.
• Must have excellent communication skills, both oral and written as well as demonstrated strong interpersonal skills.
• Demonstrated ability to collaborate effectively in a team environment across multiple disciplines and across multiple locations.
• Must have a working knowledge of the forest growth modeling techniques and a variety of tools currently used throughout the industry.
• Experience with the application of remote sensing in forest inventory systems.
• Knowledge and aptitude in a structured programming language such as R (preferred), Python, Julia, C++, etc.
• Experience using relational databases, e.g., SQL, to write/ design queries, analyze data, and create reports.

Preferred Qualifications, Capabilities, and Skills

• Demonstrated background in carbon-focused measurements and accounting methods is strongly preferred.