Geospatial Analyst
$55,000–$72,000 year
HybridCharleston, South Carolina, United States
Charleston, South Carolina, United StatesHybridFull Time$55,000–$72,000 yearMasters DegreeMedium
Full TimeMasters DegreeMedium
Job Summary
Conduct quality assurance of land cover datasets and assist with direct classification using multiple input data sources. Compile, process, and analyze imagery, elevation, and ancillary data in raster and vector formats to produce derived products such as maps, statistics, and Storymaps. Manage complex automated tasks, publish map services, and write metadata records while working independently or within a small team. Apply standard operating procedures to achieve operational results for project deliverables in the Coastal Change Analysis Program.
Required Qualifications
- Master's degree with two plus years of related experience in geography, remote sensing, GIS, or related field OR a Bachelor's degree with six plus years of related experience
- Some experience or general knowledge of land cover mapping methods, elevation data, orthoimagery analysis, and change detection
- Some experience or general knowledge with both raster and vector-based datasets on desktop and web-based platforms
- Some experience or general knowledge of geospatial analysis tools such as (or similar to) ArcGIS Pro, Erdas Imagine, QGIS, Global Mapper, Trimble eCognition, FeatureAnalyst, etc.
- Strong communication and organizational skills and excellent interpersonal skills
- Self-starter with ability to work in a small team environment without direct day-to-day supervision
- Ability to follow standard operating procedures and guidance documentation
- Knowledge of Python scripting language required for automation of GIS tasks
- Knowledge of coastal management and coastal processes
- Knowledge of coastal hazards and inundation mapping
- Located in the Charleston, SC area
- Able to work in a hybrid capacity
Desired Qualifications
- Knowledge or experience related to land cover classification using machine learning or more advanced deep learning artificial intelligence
- Knowledge or experience with wetland mapping
- Processing and managing data and map services in the cloud
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