GIS Analyst

Forsite Consultants Ltd•Kamloops, BC

3d•Hybrid

About The Position

FORSITE is actively looking for a GIS Specialist based out of Salmon Arm/Kamloops to join our team. Forsite is a leading provider of integrated forest land development and management services with 10 locations throughout Canada and the US. Our staff are industry leaders in forestry technology, strategic planning, resource and land management and professional forestry. Forsite is committed to growth, innovation and maintaining a safe and respectful working environment. At Forsite we will excel by being a flexible, adaptable, people-oriented business that grows and profits by creating value for our customers and opportunities for our employees. We will apply our skills, knowledge and technologies to be the best forest management company. We value fostering and sustaining an environment of diversity and inclusion where everyone can reach their full potential.

Requirements

A bachelor's degree in Geography, GIS, Computer Science, Forestry, or a related field (or equivalent practical experience).
Strong Python skills — 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.

Nice To Haves

Experience with LiDAR data processing in a forestry context — individual tree detection, canopy height models, terrain classification.
PostgreSQL and SQL experience — writing queries, managing spatial data with PostGIS, understanding schema design.
Esri web stack experience: ArcGIS Portal, publishing and maintaining feature services, web maps, and hosted layers.
Familiarity with forest inventory systems, tenure data, or provincial data standards (e.g., BC's VRI/RESULTS/FTEN).
Familiarity with cloud platforms or HPC environments.
Exposure to object detection or semantic segmentation for remote sensing imagery.

Responsibilities

Use ArcGIS Pro and ArcPy as core tools — write production-quality ArcPy code.
Build and maintain Python-based geospatial pipelines using libraries like GDAL, Shapely, GeoPandas, Rasterio, PDAL, and PyQGIS.
Work with large raster and vector datasets, including LiDAR point clouds, DEMs, and land cover data.
Optimize processing workflows for performance, including parallel and distributed approaches.
Apply machine learning and computer vision techniques to spatial analysis problems (object detection, image classification, semantic segmentation).
Contribute to model development, training, and evaluation using frameworks such as PyTorch or TensorFlow.
Help integrate AI outputs into production geospatial workflows.
Diagnose and solve spatial data problems independently — data quality issues, schema mismatches, projection inconsistencies, edge cases in complex datasets.
Collaborate with team members across geomatics, forestry, and engineering to scope and deliver solutions.
Document your work clearly so others can pick it up.