GIS Data Scientist

Title: Geospatial Data Scientist (GIS)

Location: Remote

Duration: 06 Months (Contract to Hire)

Top Skills' Details:

1. Python for data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)

2. PostgreSQL & PostGIS for spatial querying & data management

3. Experience with GIS tools such as QGIS, ArcGIS, or equivalent

Job Description

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.

• 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
• 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

Additional Skills & Qualifications:

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

Employee Value Proposition (EVP): They are the largest locating services company in the country. You would have the opportunity to help improve the data manipulation and data management of applications that support 10,000 people's data.

Work Environment: This team has increased from 3 team members to 7 and expects more growth down the road.

Business Drivers/Customer Impact

They have 10k people collecting data every day. Locators put paint on ground and collect data points to do it. Employees / Field Techs collect data that is loose and rough looking data from calls. From other side they look at work and have high precision representation of everything and they can do visual representation of above and below ground. The issue is they don t have enough manpower to do data manipulation.

Why is the position open (provide details)

The issue is they don t have enough manpower to do data manipulation. Apps they are trying to develop, not enough resources. Not enough hours in day.