Intermediate Spatial Ecologist

WSP in Canada; Fredericton; Hybrid; CAD 90,272 - 120,016; Full time

Job summary

WSP seeks an Intermediate Spatial Ecologist to advance ecological assessment and environmental planning using geospatial analytics, AI/ML, and remote sensing. The role supports projects across Canada with hybrid work options and potential remote arrangement for the right candidate.

Ideal candidate has a Master’s in Ecology or related field and 5–10 years of spatial ecology experience, strong GIS and Python skills, and proven ability to communicate analytical results to varied audiences.

Qualifications

• Master's degree in Ecology, Data Science, Environmental Science, or a related field.
• 5–10 years of relevant experience in applied spatial ecology or environmental consulting.
• Strong proficiency in GIS platforms such as ArcGIS Pro or QGIS, including spatial analysis and geoprocessing.
• Strong programming skills in Python for data analysis, automation, and visualization.
• Demonstrated ability to analyze ecological data and interpret results in an applied context.
• Experience preparing technical reports and communicating analytical results to diverse audiences.
• Experience working with large geospatial and ecological datasets, including remote sensing and Earth observation products.

Responsibilities

• Analyze ecological and spatial datasets and interpret results to support projects across multiple sectors.
• Develop, manage, and execute Python and GIS workflows, including spatial modeling, geoprocessing, automation, and map production.
• Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects analysis.
• Create clear and compelling data visualizations using Python and/or R.
• Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation products, with field‑based ecological data to support environmental assessments and monitoring programs.
• Conduct exploratory data analysis and statistical analyses using Python and/or R.
• Prepare technical reports, ensuring transparent documentation of analytical methods and results.
• Contribute to data management, QA/QC processes, and reproducible analytical workflows.
• Collaborate with multidisciplinary teams and contribute to project coordination and execution.

Skills

Python for data analysis

GIS analysis

Data visualization

Communication skills

Team collaboration

Education

Master’s degree in Ecology or related field

Tools

ArcGIS Pro

QGIS

Python

Job description

Job Overview

WSP is seeking an Intermediate Spatial Ecologist with strong geospatial and analytical expertise to join our Ecology team. The successful candidate will join a team committed to advancing innovative approaches to ecological assessment and environmental planning. In this role, you will help integrate emerging technologies—AI, machine learning, remote sensing, Earth observation, and cloud‑based geospatial analytics—with traditional ecological expertise to improve the efficiency, accuracy, and scalability of environmental decision‑making.

At WSP, you'll be part of a growing team of environmental professionals working on complex projects across Canada and beyond, helping clients address today’s environmental challenges while preparing for tomorrow’s opportunities. This position is hybrid and can be located in any of our Canadian offices, with the possibility of remote for the right candidate.

Responsibilities

• Analyze ecological and spatial datasets and interpret results to support projects across multiple sectors.
• Develop, manage, and execute Python and GIS workflows, including spatial modeling, geoprocessing, automation, and map production.
• Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects analysis.
• Create clear and compelling data visualizations using Python and/or R.
• Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation products, with field‑based ecological data to support environmental assessments and monitoring programs.
• Conduct exploratory data analysis and statistical analyses using Python and/or R.
• Prepare technical reports, ensuring transparent documentation of analytical methods and results.
• Contribute to data management, QA/QC processes, and reproducible analytical workflows.
• Collaborate with multidisciplinary teams and contribute to project coordination and execution.

Minimum Qualifications

• Master’s degree in Ecology, Data Science, Environmental Science, or a related field.
• 5–10 years of relevant experience in applied spatial ecology or environmental consulting.
• Strong proficiency in GIS platforms such as ArcGIS Pro or QGIS, including spatial analysis and geoprocessing.
• Strong programming skills in Python for data analysis, automation, and visualization.
• Demonstrated ability to analyze ecological data and interpret results in an applied context.
• Experience preparing technical reports and communicating analytical results to diverse audiences.
• Experience working with large geospatial and ecological datasets, including remote sensing and Earth observation products.

Preferred Qualifications

• Proficiency in R for statistical analysis and ecological modeling.
• Experience with statistical modeling approaches such as resource selection functions, occupancy models, habitat suitability models, or connectivity analyses.
• Experience working with large and diverse ecological datasets, including GPS telemetry, wildlife surveys, and remote sensing data.
• Strong data management, visualization, and reproducibility practices.
• Excellent communication and stakeholder engagement skills.
• Familiarity with cloud‑based geospatial platforms such as Google Earth Engine, Microsoft Planetary Computer, or equivalent environments.
• Experience developing automated workflows for biodiversity monitoring, habitat mapping, land‑cover classification, change detection, or cumulative effects assessment.
• Experience integrating AI‑assisted approaches for image analysis, acoustic monitoring, camera trap processing, species detection, or ecological forecasting.

Compensation

AB, BC, NT, NU, SK & YT: $48.10 – $63.70 per hour

MB & ON: $43.90 – $60.40 per hour

NB, NL, NS, PE & QC: $43.40 – $57.70 per hour

The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.

Why Choose WSP?

• Proudly Canadian – we are a Top 100 Employer in Canada for 2026.
• A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach.
• Limitless opportunities start here. Whether it’s across the country or around the globe, we help you tailor your role to match your ambition — because your growth drives ours.
• Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.

EEO Statement & Accessibility

WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WSP is committed to the principles of employment equity. Only the candidates selected will be contacted. WSP does not accept unsolicited resumes from agencies.