• Conduct remote sensing analytics and modeling • Develop scalable analytical and reporting tools • Manage GIS data collection, storage, and version control across team members • Engage in strategic planning & process improvement • Provide support to collaborate with Land and Forestry teams • Manage and analyze large datasets off-line and in cloud computing and storage platforms • Analyze large and complex geospatial datasets and remote sensing data • Design and implement novel predictive, statistical, and machine learning models related to forestry, land use, carbon sequestration, biodiversity, conservation planning, and climate resilience • Automate statistical and geospatial analysis processes using Python, R, or other programming languages • Create clear and impactful reporting tools to communicate geospatial information and insights • Maintain and update internal geospatial databases, ensuring data quality, consistency, and version control • Integrate data from Land, Forestry, and Carbon teams to support commercial initiatives • Ensure high standards of data accuracy and ethical use in all geospatial analyses and models • Conduct quality control checks on geospatial datasets • Provide technical mapping support to other team members as needed • Work closely with Land, Forestry, and Carbon teams to uncover new operational insights • Identify opportunities to improve geospatial workflows and contribute to the development of best practices • Support research and development efforts in geospatial analytics and remote sensing applications.