Remote Geospatial Data Scientist — GIS & Analytics

Trigyn Technologies Limited; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

TRIGYN TECHNOLOGIES is seeking a Geospatial Data Scientist to work remotely on an international project. The role emphasizes GIS data preparation, workflow design, and quality assurance across raster and vector datasets, coordinate systems, and metadata standards.

You will collaborate with data engineers and API teams to publish geospatial outputs and ensure interoperability with common formats and services. A strong background in GIS tools, Python, and PostGIS is expected.

Qualifications

• Advanced degree in GIS or related field as described in the posting.
• Professional experience in GIS, geospatial data engineering, spatial analytics, or geospatial solution implementation.
• Hands-on experience with raster and vector datasets, CRS, metadata, and data quality controls.
• Experience designing geospatial workflows such as reprojection, clipping, spatial joins, aggregation, and publication.
• Experience with GIS formats and standards, including GeoJSON, Shapefile, KML/KMZ, CSV with coordinates, GeoTIFF, and OGC APIs.

Responsibilities

• Review project requirements, client documentation, source datasets, and reference geographies.
• Assess geospatial data readiness including raster and vector datasets and coordinate systems.
• Design and implement geospatial data preparation workflows and quality checks.
• Support raster and vector data processing requirements for analytics, APIs, or visualization layers.
• Engage with client stakeholders to clarify requirements and assess feasibility.

Skills

GIS tools

Python for GIS

Spatial SQL

Cloud GIS

Data integration

Metadata standards

International reporting (adv)

Education

Advanced GIS/related degree

Tools

ArcGIS

QGIS

GDAL/OGR

GeoPandas

PostGIS

GeoServer

MapServer

Job description

TRIGYN TECHNOLOGIES is seeking a Geospatial Data Scientist to work remotely on an international project. The role emphasizes GIS data preparation, workflow design, and quality assurance across raster and vector datasets, coordinate systems, and metadata standards.

You will collaborate with data engineers and API teams to publish geospatial outputs and ensure interoperability with common formats and services. A strong background in GIS tools, Python, and PostGIS is expected.