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Geospatial Data Science Jobs in Georgia (NOW HIRING)

Prescient Edge

Senior Geospatial Analyst

Augusta, GA · On-site

$81K - $108K/yr

Extensive experience with geographically derived assessments, enterprise data integration, spatial ... Education: * MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Interdev LLC

Geospatial Solutions Analyst I

Alpharetta, GA · On-site

$50K - $55K/yr

Perform data edits from a variety of source materials (imagery, surveys, as-builts, plats, etc ... Bachelor's degree in Geospatial sciences or related field preferred. * Proficient with land records ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Georgia

Geospatial Data Science information

See Georgia salary details

$18.6K

$65.4K

$103K

How much do geospatial data science jobs pay per year?

As of Jul 23, 2026, the average yearly pay for geospatial data science in Georgia is $65,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $67,600.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
What are popular job titles related to Geospatial Data Science jobs in Georgia? For Geospatial Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Georgia look for? The top searched job categories for Geospatial Data Science jobs in Georgia are:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,435 per year, or $31.5 per hour.
Geospatial Analyst - Senior and Expert

Geospatial Analyst - Senior and Expert

Altamira Technologies Corp.

Fort Eisenhower, GA

$83K - $110K/yr

Full-time

Posted 6 days ago

Job description

Geospatial Analyst - Senior and Expert
Altamira Technologies Corporation has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities by creating innovative solutions that leverage common standards in architecture, data, and security. Altamira believes that our people and company culture differentiate us from other companies.
We are seeking Senior and Expert Geospatial Analysts to support GEOINT analysis, production, reporting, and mission support. These roles perform analysis of U.S. Government and commercial GEOINT assets and maintain expertise across GEOINT tradecraft, including Synthetic Aperture Radar, Electro-Optical, Moving Target Indicator, LiDAR, Overhead Persistent Infrared, Geospatial Information and Services, Wide Area Persistent Surveillance, geospatial data processing, analysis and modeling, and general intelligence analysis.
Senior Geospatial Analyst
The Senior Geospatial Analyst will use geographic information systems, methods, tools, and supporting databases to answer critical intelligence questions. The analyst will maintain proficiency with GEOINT tools and data sources, perform specialized scientific and technical data processing, support exploitation workflows, and provide training when required by the Government.
The Senior Geospatial Analyst will follow GEOINT-related technical publications, policies, and directives at the national, theater, and local levels. The analyst will capture analytical findings in textual, graphic, vector, or other formats and ensure GEOINT reporting meets national, theater, and local requirements for content, accuracy, formatting, classification, and timeliness.
Expert Geospatial Analyst
The Expert Geospatial Analyst will perform advanced GEOINT analysis and maintain expert-level knowledge of U.S. Government and commercial GEOINT assets, associated tradecraft, and supporting tools. The analyst will use GIS methods and technologies to answer complex intelligence questions, support specialized data processing, and contribute to exploitation and reporting workflows.
The Expert Geospatial Analyst will maintain familiarity with applicable classification guides, security policies, and Intelligence Community Directives. The analyst will remain current on geopolitical events, supported Combatant Command priorities, theater-specific issues, and customer intelligence requirements to provide informed, timely, and actionable GEOINT support.
Required Education and Experience
Senior Geospatial Analyst
  • MA/MS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 5 years of relevant experience; or
  • BA/BS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 10 years of relevant experience; or
  • High school diploma/GED with training in a DoD Geospatial Information Services career field or military occupational specialty and at least 15 years of Intelligence Analysis experience.
Expert Geospatial Analyst
  • MA/MS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 10 years of relevant experience; or
  • BA/BS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 15 years of relevant experience.
Required Qualifications
  • Expert knowledge of industry-standard location analysis desktop and server applications, such as Esri ArcGIS Platform, QGIS, MapBox, GeoServer, or similar tools.
  • Experience using and managing spatial relational databases, including Oracle, MSSQL, PostgreSQL/PostGIS, or similar databases.
  • Extensive experience with geographically derived assessments, enterprise data integration, spatial data governance, metadata management, and interpretation of business and performance metrics.
  • Expert ability to present geospatial information through multimedia presentations and written reports.
  • Experience coordinating and collaborating with industry counterparts on technical projects, software and service assessments, and related subject matter.
  • Familiarity with DoD/NSG Structured Observation Management and object-based production.
  • Current/active TS/SCI clearance.
For Expert-level candidates, additional required qualifications include:
  • College degree in Geospatial Information and Services, Geomatics, Geospatial Sciences, or a closely related field.
  • Current/active TS/SCI security clearance with Single Scope Background Investigation.
  • Demonstrated experience using geospatial Python, R, SAS, Java, or other coding languages to deliver custom geoprocessing and analytical workflows.
Desired Qualifications
  • Experience with Intelligence Community and DoD geospatial data and repositories.
  • Experience working within common project management frameworks.
  • Demonstrated knowledge and experience in cartography, GIS, and spatial modeling.
  • Experience using Python, R, SAS, Java, or other coding languages with spatial data to deliver custom solutions.
  • Familiarity with Army, DoD, or Intelligence Community geospatial processes, policies, and programs.
  • Private-sector GIS certification, such as GISP or Esri Professional certification.
  • Government GEOINT certification, such as a GPC-series certification.
  • Knowledge of Microsoft Office tools and graphic design principles.
Employment Type: Full Time

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