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Machine Learning Geospatial Jobs in Maryland (NOW HIRING)

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Machine Learning Geospatial information

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?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, 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 professional?

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 Maryland? For Machine Learning Geospatial jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Maryland look for? The top searched job categories for Machine Learning Geospatial jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Geospatial jobs? Cities in Maryland with the most Machine Learning Geospatial job openings:
Infographic showing various Machine Learning Geospatial job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Maven Exploitation Specialist/ Data Analyst (Middle)

BTS

Columbia, MD • On-site

Full-time

Re-posted just now


Job description

Job Summary:
BTS Software Solutions is seeking a Maven Exploitation Specialist/ Data Scientist Middle to support Department of Defense IC missions. The role involves maintaining data holdings, ensuring compliance to data standards, and performing quantitative analysis to improve Machine Learning model development.
Responsibilities:
• Work with GEOSPI team to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity.
• Lead and conduct projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data.
• Support data analytics, data cleaning, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
• Apply statistical and analytic methods to support answering intelligence questions, mission requirements, and advanced data analysis.
• Build lightweight analytic tools to visualize data metrics and assess progress of data preprocessing efforts against Government goals.
• Design methods and mechanisms to track, report, and monitor data in order to ensure pipeline movements are timely and support all necessary processes.
• Develop system to provide automated checks on data and processes to guarantee continuous pipeline support.
• Ingest and rectify non-standard data and data in formats that are new within the Data Management Platform (DMP), for integration and curation.
• Generate and manage data dictionaries to ensure information stays updated as data tables change.
• Provide data analysis expertise for assistance in determining if imagery curation techniques and strategies are effective in identifying images of value ( e.g., containing objects of interest or specific imagery characteristics)
Qualifications:
Required:
• Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets.
• Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau.
• Experience developing visualizations to communicate analytical results and to assist technical and non-technical audiences in understanding information from large datasets.
• Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future.
Preferred:
• Experience working in AI/ML-relevant fields related to imagery exploitation.
Company:
BTS solves modern security and defense challenges through cutting edge technology and highly-skilled teams. Founded in , the company is headquartered in Columbia, Maryland, US, , with a team of 51-200 employees. The company is currently Growth Stage.