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 cutting-edge 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 analysis
- Create and manage spatial models using GIS platforms
- Utilize machine learning in ecological contexts
- Develop visualizations in Python or R
- Engage with multidisciplinary teams for project success

Requirements:
- Master's in Ecology or relevant discipline
- 5–10 years' experience in spatial ecology
- Strong GIS (ArcGIS Pro, QGIS) background
- Advanced Python programming proficiency
- Experience with large ecological datasets

Leverage your expertise in geospatial analysis with WSP and make a significant ecological impact.

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