Note: The job is a remote job and is open to candidates in USA. ResourceWise is a leading commodity pricing and market intelligence company specializing in forest products, chemicals, and renewable fuels. They are seeking a highly motivated GIS Analyst with expertise in satellite imagery, remote sensing, and geospatial automation to support the development and quality assurance of large-scale land monitoring products.
Responsibilities
- Perform quality assurance (QA/QC) on satellite imagery and derived geospatial products
- Evaluate image quality for cloud cover, atmospheric effects, geometric accuracy, and radiometric consistency
- Identify and document anomalies, processing errors, and data quality issues
- Develop and maintain QA procedures and validation metrics
- Design, implement, and refine automated change detection workflows using multi-temporal satellite imagery
- Analyze vegetation and forestry changes using Sentinel imagery
- Validate change detection outputs against reference datasets and ground truth information
- Improve detection accuracy by incorporating new algorithms and best practices
- Identify opportunities to leverage artificial intelligence and machine learning to improve geospatial production workflows
- Develop AI-assisted routines for image classification, feature extraction, anomaly detection, and quality assurance
- Evaluate emerging AI tools and integrate them into GIS and remote sensing operations
- Collaborate with technical teams to deploy scalable AI-enabled geospatial solutions
- Develop Python scripts and geoprocessing tools to automate repetitive GIS tasks
- Process, analyze, and manage large geospatial datasets
- Maintain reproducible workflows using version control and documentation
- Support integration of GIS data into enterprise applications and cloud environments
Skills
- Bachelor's degree in GIS, Geography, Remote Sensing, Environmental Science, Computer Science, or a related field
- 3-5 years of professional GIS or remote sensing experience
- Strong experience with Sentinel-1 and/or Sentinel-2 imagery
- Proficiency in Python for geospatial analysis and automation
- Experience with ArcGIS Pro
- Experience performing quality assurance on remote sensing imagery
- Knowledge of raster processing and geospatial data management
- Strong analytical, troubleshooting, and documentation skills
- Experience with cloud-based geospatial platforms such as Google Earth Engine, AWS, or Azure
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Understanding of image classification, segmentation, and computer vision techniques
- Familiarity with SQL and spatial databases (PostGIS, SQL Server Spatial)
- Remote Sensing: Sentinel-1, Sentinel-2, multispectral imagery
- Candidates with experience in forestry, agriculture, environmental monitoring, land cover mapping, natural resource management, or other large-scale Earth observation programs are especially encouraged to apply
Benefits
- Yearly performance bonus
- Medical, dental, and vision benefit programs provided
- 401k with company match
- Education Benefit after 1 year
- PTO, company holidays, and personal days offered
Company Overview