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Geospatial Science Jobs in Georgia (NOW HIRING)

Prescient Edge

SME- Data Scientist

Augusta, GA · On-site

Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.

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Geospatial Science information

See Georgia salary details

$52.8K

$65.3K

$78.1K

How much do geospatial science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for geospatial science in Georgia is $65,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $69,200.00 per year, depending on experience, location, and employer.

What is a Geospatial Science job?

A Geospatial Science job involves collecting, analyzing, and interpreting spatial data to understand geographic patterns and relationships. Professionals in this field use technologies like GIS (Geographic Information Systems), remote sensing, and GPS to support decision-making in areas such as urban planning, environmental management, and disaster response. Roles may include GIS analysts, cartographers, surveyors, or remote sensing specialists. These jobs are found in industries like government, agriculture, transportation, and defense. Strong analytical skills and proficiency in geospatial software are essential for success in this field.

What are the typical daily responsibilities for someone working in Geospatial Science?

Professionals in Geospatial Science typically spend their days collecting, analyzing, and interpreting spatial data using GIS and remote sensing technologies. Responsibilities often include creating digital maps, conducting spatial modeling, managing geospatial databases, and supporting environmental or urban planning projects. Collaboration with engineers, surveyors, and project managers is common, as is the need to present findings to stakeholders through reports or visualizations. The role offers a dynamic mix of independent technical work and teamwork, making it ideal for those who enjoy both in-depth analysis and collaborative problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Science position, and why are they important?

To succeed in Geospatial Science, you need strong analytical skills, a background in geography or environmental science, and proficiency in spatial data analysis. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools, and certifications such as GISP or Esri Technical Certification are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you work with interdisciplinary teams and convey complex spatial information. These competencies are crucial for ensuring accurate data interpretation and impactful decision-making in projects involving mapping, planning, or resource management.

What job categories do people searching Geospatial Science jobs in Georgia look for? The top searched job categories for Geospatial Science jobs in Georgia are:
What cities in Georgia are hiring for Geospatial Science jobs? Cities in Georgia with the most Geospatial Science job openings:
Geospatial Science jobs near you
Infographic showing various Geospatial Science job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,317 per year, or $31.4 per hour.
Data Scientist - Expert Level

Data Scientist - Expert Level

Altamira Technologies Corp.

Fort Eisenhower, GA

Full-time

Posted 20 days ago

Job description

Altamira Technologies Corporation has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities by focusing on creating innovative solutions leveraging common standards in architecture, data and security.
Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done.
Responsibilities:
·         The Data Scientist Conducts 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:
 
  •          MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR
  •          BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
Qualifications:
  •          Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
  •          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.
  •          Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  •          Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
  •          Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  •          Current/active TS/SCI clearance
Desired Qualifications/Skills:
  •          Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
  •          Certification in AWS (AI/ML specialty).
  •          Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
  •          Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
  •          Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
  •          Experience with Microsoft Office tools to deliver reports, graphics and briefings.

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