This role requires deep expertise in Python-based development, data engineering, and geospatial ... Experience developing and deploying machine learning models in operational environments
This role requires deep expertise in Python-based development, data engineering, and geospatial ... Experience developing and deploying machine learning models in operational environments
... National Geospatial-Intelligence Agency (NGA) in Sneads Ferry, NC. The Data Scientist will ... Intelligence and Machine Learning (AI/ML) • Demonstrated experience of advanced programming ...
... National Geospatial-Intelligence Agency (NGA) in Sneads Ferry, NC. The Data Scientist will ... Intelligence and Machine Learning (AI/ML) • Demonstrated experience of advanced programming ...
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and ... Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
Machine Learning Geospatial information
See Jacksonville, NC salary details
$17.13 - $19.40
16% of jobs
$20.53 is the 25th percentile. Wages below this are outliers.
$19.40 - $21.66
18% of jobs
The median wage is $23.93 / hr.
$21.66 - $23.93
16% of jobs
$23.93 - $26.20
21% of jobs
$27.78 is the 75th percentile. Wages above this are outliers.
$26.20 - $28.47
5% of jobs
$28.47 - $30.73
3% of jobs
$30.73 - $33
5% of jobs
$33 - $35.27
4% of jobs
$35.27 - $37.53
9% of jobs
$37.53 - $39.80
1% of jobs
$39.80 - $42.07
1% of jobs
$17
$26
$42
How much do machine learning geospatial jobs pay per hour?
As of Jul 30, 2026, the average hourly pay for machine learning geospatial in Jacksonville, NC is $26.29, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $30.58 per hour, depending on experience, location, and employer.
What does a Machine Learning Geospatial professional do?
A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.
What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?
Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.
What is the difference between Machine Learning Geospatial vs GIS Analyst?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, spatial data management, spatial analysis |
Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.
What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?
To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in Jacksonville, NC? For Machine Learning Geospatial jobs in Jacksonville, NC, the most frequently searched job titles are:
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Re-posted 7 days ago
Job description
About the role G3 is seeking a Senior Data Scientist to develop and deploy mission-ready solutions that enable advanced querying, visualization, aggregation, correlation, and analysis of large-scale data across intelligence disciplines. This role requires deep expertise in Python-based development, data engineering, and geospatial analytics to operationalize data from diverse sources, including web APIs and enterprise repositories. The ideal candidate will design scalable analytic workflows, build interactive dashboards, and create custom tools that enhance decision advantage across complex GEOINT and multi-intelligence environments. This position operates at a senior level with significant autonomy and requires both technical excellence and the ability to translate complex data into actionable insights. Responsibilities * Develop and implement methods for querying, visualizing, aggregating, correlating, and analyzing large datasets across intelligence disciplines * Design and deploy Python-based solutions to retrieve, normalize, and operationalize data from web APIs and other data sources * Build interactive dashboards and analytic interfaces using tools such as Dash, Streamlit, Panel, Tableau, or similar platforms * Develop advanced data visualizations using libraries such as Plotly, Seaborn, Matplotlib, Bokeh, or equivalent * Optimize existing databases to improve performance across query, ingestion, export, and visualization processes * Integrate and manage data across relational and non-relational databases using strong SQL expertise * Develop custom tools, scripts, and workflows to automate analytic processes and support mission needs * Collaborate with AOS and AOB teams to identify, expose, and migrate new and legacy datasets * Perform geospatial data processing and analysis using GDAL, ArcPy, ArcGIS Pro, QGIS, or similar tools * Maintain, manipulate, and move data across platforms including SQL databases, ArcServer, Tableau, and other analytic environments * Utilize statistical modeling and mathematical techniques to extract patterns, relationships, and predictive insights from large datasets * Develop tradecraft methodologies and training solutions to ensure repeatable, scalable analytic processes * Use Git-based version control systems such as GitHub or GitLab to manage and maintain codebases * Produce clear, concise technical documentation for software systems, analytic workflows, and data processes * Operate independently at a senior level, delivering high-quality solutions with limited oversight Required qualifications * Active TS/SCI security clearance * Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred * 5+ years of experience in data science, data analysis, or related field within intelligence or defense environments * Senior-level proficiency in Python with experience developing mission-ready analytic solutions * Strong SQL skills and deep understanding of relational database concepts * Experience integrating and operationalizing data via web APIs * Experience with data visualization libraries such as Plotly, Seaborn, Matplotlib, or Bokeh * Experience building dashboards and analytic applications using Dash, Streamlit, Tableau, or similar tools * Proficiency with geospatial frameworks such as GDAL or ArcPy and GIS platforms such as ArcGIS Pro or QGIS * Experience with Git-based version control systems such as GitHub or GitLab * Strong analytical, problem-solving, and critical thinking skills * Ability to clearly communicate technical concepts both verbally and in writing * Demonstrated ability to operate independently in a senior-level role Preferred qualifications * Experience supporting intelligence community or DoD missions, particularly within GEOINT environments * Familiarity with USSOCOM and broader U.S. military organizational structures * Knowledge of IC data repositories, data sources, and analytic methodologies * Experience developing and deploying machine learning models in operational environments * Experience working with big data technologies such as Hadoop, Spark, or NoSQL databases * Familiarity with NGA mission sets, data standards, and workflows * Experience mentoring junior analysts and contributing to team development * Strong collaboration skills with the ability to work across cross-functional teams