Geospatial Data Scientist

You will work across the full geospatial pipeline from data ingestion and processing to analysis, modeling, and visualization and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.).

Geospatial Data Scientist (1 Position)
Remote Role
Duration:12+months

We are looking for a Geospatial Data Scientist to turn complex spatial data into actionable insights. You will work across the full geospatial pipeline from data ingestion and processing to analysis, modeling, and visualization and collaborate closely with engineering and product teams to embed spatial intelligence into our platform.

Responsibilities

• Design and execute geospatial analyses to support product and business decision-making
• Build, validate, and maintain spatial data models and pipelines
• Query and manage geospatial datasets using PostgreSQL with PostGIS
• Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
• Develop machine learning models with a spatial component (clustering, classification, interpolation, etc.)
• Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
• Collaborate backend engineers to integrate geospatial features into production systems
• Evaluate and maintain geospatial data quality, coverage, and accuracy

Requirements

• 3 6 years of experience in data science, GIS, or a related field
• Strong proficiency in Python for data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
• Deep experience with PostgreSQL and PostGIS for spatial querying and data management
• Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, etc.)
• Experience with GIS tools such as QGIS, ArcGIS, or equivalent
• Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
• Experience applying machine learning techniques to spatial problems
• Ability to communicate findings clearly in a fully remote, async environment

Nice to Have

• Experience with remote sensing or satellite imagery analysis
• Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.)
• Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl)
• Experience with big geospatial data processing (Apache Sedona, H3, S2)
• Knowledge of Docker and containerized data workflows
• Familiarity with CI/CD and version control best practices

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.