Geospatial Data (Field & Analysis)
Merit Ontario is a construction association supporting workforce needs across Ontario, and they are seeking a Geospatial Data Specialist for their member Terresky. This role involves field data collection and data processing using geospatial tools to create digital twins for construction projects.
Responsibilities
- Walk active construction sites or urban environments weekly to capture 360-degree hi-res video and imagery of 100% of the site
- Operate and maintain high-tech hardware, including 360-degree cameras, terrestrial lidar scanners, or drones
- Initiate data transfer at the end of each collection day to ensure raw files are ready for processing
- Adhere strictly to safety protocols, wearing all required PPE (hard hat, vest, glasses, boots, etc.) on-site
- Use ArcGIS Reality and ArcGIS GeoBIM to transform raw imagery and lidar point clouds into detailed 3D representations and digital twins
- Integrate diverse datasets, including BIM (Building Information Modeling), GIS layers, and photogrammetry, into a central repository
- Perform spatial and temporal analysis to forecast events, monitor changes over time, and identify patterns like "hot spots" for maintenance
- Utilize AI and deep learning models to identify and sort objects within the visual data
- Collaborate with Field Operations Managers to ensure processed models provide maximum contextual awareness for clients
Skills
- Familiarity with ArcGIS software (Pro, Online, or GeoBIM) and an understanding of GIS technology
- Ability to read and interpret architectural floor plans and blueprints
- Strong communication skills are imperative for independent work
- Ability to adapt to changing site conditions or project requirements
- Must be comfortable walking for extended periods in active construction environments
Benefits
- Hands-on experience with cutting-edge reality capture and digital twin technology.
- Flexible schedule for data processing tasks.
- Exposure to various industries, including construction and urban planning.
- Mentorship from experts in AI, computer vision, and geospatial science.
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