About the role

Intermediate GIS Analyst with strong Python skills in forestry and natural resource management. Engaging in coding and solving geospatial problems using machine learning and computer vision.

Responsibilities

We're looking for an Intermediate GIS Analyst with strong Python skills to join our geomatics team.
Worrk primarily in forestry and natural resource management, solving problems with code rather than navigating software menus.
Use ArcGIS Pro and ArcPy as core tools, write production-quality ArcPy code, build and maintain Python-based geospatial pipelines, work with large raster and vector datasets.
Apply machine learning and computer vision techniques to spatial analysis problems, contribute to model development, training, and evaluation.
Diagnose and solve spatial data problems independently, collaborate with team members across geomatics, forestry, and engineering to scope and deliver solutions.
Document your work clearly for others.

A bachelor's degree in Geography, GIS, Computer Science, Forestry, or a related field (or equivalent practical experience)
Strong Python skills — not just scripting, but writing clean, maintainable code that others can read and build on
Hands-on experience with geospatial Python libraries (GDAL, GeoPandas, Rasterio, Shapely, or similar)
Solid working knowledge of ArcGIS Pro and ArcPy, including building and deploying custom toolboxes and automating geoprocessing workflows
Familiarity with forestry-based GIS analysis — working with forest inventory, cutblock data, terrain models, or similar natural resource datasets
Familiarity with machine learning or computer vision concepts and at least one major framework (PyTorch, TensorFlow, scikit-learn)
Solid understanding of spatial data structures, coordinate systems, and raster/vector formats
Experience working with large datasets — knowing when to tile, chunk, or parallelize