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Geospatial Ai Jobs in Georgia (NOW HIRING)

Certification in AWS (AI/ML specialty). * Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.

Certification in AWS (AI/ML specialty). * Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.

... AI/ML specialty) Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.). Knowledge of the National System for Geospatial-Intelligence (NSG ...

$97K - $160K/yr

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training ... What you will do * The Geospatial Analyst shall perform analysis of the full spectrum of US ...

Certification in AWS (AI/ML specialty). * Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.

Showing results 21-40

Geospatial Ai information

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

What cities in Georgia are hiring for Geospatial Ai jobs?

Cities in Georgia with the most Geospatial Ai job openings:

Infographic showing various Geospatial Ai job openings in Georgia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution.

Data Scientist Expert with Security Clearance

SOSi

Fort Eisenhower, GA • On-site

Other

Re-posted 8 days ago


Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description **This position is contingent upon award of contract** SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army Intelligence and Security Command (INSCOM). The role involves applying advanced statistical, computational, and machine learning techniques to solve complex analytical problems and generate mission-critical insights. This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and operationalize high-value analytical models. The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated analytical outputs that support operational, intelligence, and enterprise-level decision-making. Essential Job Duties: * Perform predictive and prescriptive analytics to identify trends, patterns, and anomalies in large datasets; validate, document, and optimize all models for operational use.
* Collect, clean, and fuse structured and unstructured data from multiple sources; design and maintain scalable data pipelines that ensure quality, lineage, and reliability at enterprise scale.
* Apply logistic regression, clustering, PCA, NLP, neural networks, deep learning, and related techniques to deliver insights otherwise unobtainable and to meet mission objectives.
* Develop and maintain algorithms, scripts, and micro-services (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows.
* Design and deploy models for object detection, image classification, feature extraction, and activity recognition using modern ML frameworks; implement testing, performance tuning, and MLOps practices.
* Build actionable dashboards and visualizations; deliver clear reports, charts, and multimedia presentations that translate technical findings into mission-relevant decisions.
* Employ geospatial scientific principles and GIS tools to integrate location-based data and models; support GEOINT workflows and (where applicable) NSG TCPED processes.
* Administer, query, and optimize tabular and geospatial datasets; leverage SQL and spatial databases while enforcing metadata standards, governance policies, and data stewardship.
* Operate within TS/SCI/SSBI requirements; implement security, privacy, and access controls across data, models, and tooling to meet DoD/IC policies and program standards.
* Work within Scrum/Kanban/Lean frameworks; partner with stakeholders to define requirements, iterate solutions, and evaluate emerging tools/algorithms-recommending innovations that improve analytical outcomes and mission impact. Qualifications Minimum Requirements: * 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
* 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 capabilities.
* 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 security clearance with Single Scope Background Investigation (SSBI)
Preferred Qualifications: * 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. Additional Information Work Environment * Normal office conditions
* The primary performance location for this contract will be Fort Gordon, Georgia. The Government reserves the right to require contract performance at alternate locations, as dictated by mission requirements, and these locations may be subject to change.
* Additional performance locations are as follows:
* MacDill AFB, Florida
* Buckley SFB, Colorado
* Springfield, Virginia
* Potential performance locations may include the following:
* Vicenza, Italy
* Wiesbaden, Germany
* Fort Shafter, Hawaii
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.