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Gis Machine Learning Jobs in Virginia (NOW HIRING)

Thomson Reuters

Data Scientist

Mclean, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The platform serves as an essential tool for investigators and leverages machine learning, computer ... GIS, or a related technical discipline * Experience working with both off-the-shelf and custom or ...

THOMSON REUTERS

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The platform serves as an essential tool for investigators and leverages machine learning, computer ... GIS, or a relatedtechnicaldiscipline * Experience working with both off-the-shelf and custom or ...

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$95K - $161K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... Bachelors in GIS, Geography, or related major. * Experience with Python scripting and geospatial ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA

... Machine Learning algorithm training and evaluation. The ideal candidate brings strong multi-INT ... Implement technical knowledge of GA tradecraft including GIS analyses such as: * Viewshed / Line of ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

$95K - $161K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... Bachelors in GIS, Geography, or related major. * Experience with Python scripting and geospatial ...

BAE Systems

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... Bachelors in GIS, Geography, or related major. * Experience with Python scripting and geospatial ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

... Machine Learning algorithm training and evaluation. The role involves leveraging multi-INT data ... GIS analyses such as: • Viewshed / Line of Sight (LOS) • Mobility and Order of Battle • ...

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Showing results 21-40

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Virginia

Gis Machine Learning information

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Virginia?

For Gis Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Gis Machine Learning jobs in Virginia look for?

The top searched job categories for Gis Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Gis Machine Learning jobs?

Cities in Virginia with the most Gis Machine Learning job openings:

Gis Machine Learning jobs near you

Geospatial Data Systems Engineer (TS/SCI + Poly)

Aperio Global

Mclean, VA

Full-time

Posted 10 days ago

Job description

Senior Geospatial Data Engineer
TS/SCI with Polygraph Required
McLean VA

At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You'll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.

What You'll Do
Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

Required Qualifications
Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

160-220k

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