Drive ecological innovations as WSP's Intermediate Spatial Ecologist, combining field knowledge with advanced geospatial technologies in a hybrid role. Enhance environmental decision-making with your analytical skills.WSP is on the lookout for an Intermediate Spatial Ecologist to integrate traditional ecological methods with creative technologies like AI and machine learning. This role will involve analyzing data, managing GIS workflows, and collaborating across sectors for effective biodiversity assessments. Your contributions will play a vital role in various environmental projects.Key Responsibilities:Interpret ecological datasets for insightful project analysisCreate and manage spatial models using GIS platformsUtilize machine learning in ecological contextsDevelop visualizations in Python or REngage with multidisciplinary teams for project successRequirements:Master's in Ecology or relevant discipline5–10 years' experience in spatial ecologyStrong GIS (ArcGIS Pro, QGIS) backgroundAdvanced Python programming proficiencyExperience with large ecological datasetsLeverage your expertise in geospatial analysis with WSP and make a significant ecological impact.

📌 Wsp Intermediate Ecologist – Hybrid Role (Ottawa)
🏢 WSP in Canada
📍 Ottawa