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Freelance Geospatial Data Scientist Jobs in Indiana

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

Lead and oversee field survey and geospatial data collection operations, ensuring accuracy, safety ... Our integrated services include engineering, environmental sciences, architecture, construction ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ... Experience in operating UAS for geospatial data collection, including tasks like LiDAR ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ... Experience in operating UAS for geospatial data collection, including tasks like LiDAR ...

Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ... Experience in operating UAS for geospatial data collection, including tasks like LiDAR ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Associates or Bachelor's degree in Geomatics, Surveying, Geospatial Science, Aviation, or a related ...

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Freelance Geospatial Data Scientist information

What is the difference between Freelance Geospatial Data Scientist vs Geospatial Data Analyst?

AspectFreelance Geospatial Data ScientistGeospatial Data Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in GIS, Geography, or related fieldsOften requires a bachelor's degree in GIS, Geography, or related disciplines
Work EnvironmentIndependent, project-based, remote or on-siteEmployed by organizations, working in office or remote teams
Industry UsageUsed across various industries for complex spatial modeling and data science tasksPrimarily involved in data visualization, reporting, and basic spatial analysis

Freelance Geospatial Data Scientists focus on advanced spatial data modeling and machine learning, often working independently on complex projects. Geospatial Data Analysts typically handle data visualization and reporting within organizations. The main difference lies in the complexity of tasks and level of expertise required.

What are the most commonly searched types of Geospatial Data Scientist jobs in Indiana? The most popular types of Geospatial Data Scientist jobs in Indiana are:
What are popular job titles related to Freelance Geospatial Data Scientist jobs in Indiana? For Freelance Geospatial Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Freelance Geospatial Data Scientist jobs in Indiana look for? The top searched job categories for Freelance Geospatial Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Freelance Geospatial Data Scientist jobs? Cities in Indiana with the most Freelance Geospatial Data Scientist job openings:
Infographic showing various Freelance Geospatial Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN • On-site

$110.21 - $121.23/hr

Other

Posted 5 days ago


Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data 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. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • 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 spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3–6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial 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, WKT, WKB, 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
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
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