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Geospatial Data Science Jobs in Georgia (NOW HIRING)

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

College degree must be in Geospatial Information & Services (GIS), Geomatics, Geospatial Sciences ... Extensive experience with geographically-derived assessments, enterprise data integration, spatial ...

College degree must be in Geospatial Information & Services (GIS), Geomatics, Geospatial Sciences ... Extensive experience with geographically derived assessments, enterprise data integration, spatial ...

You will also directly perform geospatial data preparation and assemblage tasks.This technical role ... Bachelor degree in GIS or similar (computer science, SW engineering, IT, etc.) PREFERRED: * TFS

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Showing results 1-20

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 Jun 30, 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:
Infographic showing various Geospatial Data Science job openings in Georgia as of June 2026, with employment types broken down into 5% As Needed, 47% Full Time, and 48% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $65,435 per year, or $31.5 per hour.
Expert Data Scientist - Fort Gordon, Georgia (APOGEE)

Expert Data Scientist - Fort Gordon, Georgia (APOGEE)

CELESTAR

Gordon, GA โ€ข On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago


Key responsibilities

  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to produce graphical, written, visual, and verbal narrative products.

  • Proactively retrieves information from various sources, analyzes data sets, and builds AI tools to automate processes.

  • Creates machine learning-based tools or processes, such as recommendation engines or automated lead scoring systems.


Job description

Celestar Corporation is seeking a Data Scientist to support INSCOM under the Army Persistent Overhead Geospatial Intelligence (GEOINT) Exploitation Enterprise Support Services (APOGEE). The primary place of performance will be Fort Gordon, Georgia. If interested and meet ALL the required qualifications and active clearance level, we encourage you to apply for this rewarding and impactful opportunity.
โ€ข Anticipated Award Month: July 2026
โ€ข Anticipated Start Month: July 2026
โ€ข Period of Performance: 1 Base + 4 Option Years
โ€ข Location: Fort Gordon, Georgia
โ€ข CLEARANCE REQUIREMENT: Active TS/SCI (within the last 5 years)
About Us:
Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
โ€ข The Data ScientistConducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
Required qualifications/skills:
Education/Experience:
โ€ข MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR
โ€ข BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
Qualifications:
โ€ข Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
โ€ข Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
โ€ข Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
โ€ข Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
โ€ข Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
โ€ข Current/active TS/SCI clearance
Desired Qualifications/Skills:
โ€ข Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
โ€ข Certification in AWS (AI/ML specialty).
โ€ข Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
โ€ข Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
โ€ข Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
โ€ข Experience with Microsoft Office tools to deliver reports, graphics and briefings.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.