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Gis Machine Learning Jobs in Virginia (NOW HIRING)

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling * Use machine learning approaches for remote sensing and agricultural ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling * Use machine learning approaches for remote sensing and agricultural ...

TMS

Agentic Data Engineer

Richmond, VA · On-site

$80 - $95/hr

Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure ... Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo ...

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 ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

$97K - $164K/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 ...

Beyond SOF

Agentic Engineer.

Richmond, VA · On-site

$106K - $127K/yr

Understanding of core machine learning concepts and algorithms. * Familiarity with cloud computing ... GIS spatial dataRequired3Years Question 1Commonwealth of Virginia security policies prohibit the ...

ASRC Federal Holding

Geospatial Analyst

Reston, VA · On-site

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling * Use machine learning approaches for remote sensing and agricultural ...

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Gis Machine Learning information

What are GIS Machine Learning jobs?

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 some common challenges faced 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
GEOINT Innovation Data Scientist - TS/SCI required

GEOINT Innovation Data Scientist - TS/SCI required

Leidos

Alexandria, VA • On-site

Full-time

Posted 15 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

55th of 426 rated business services

Job description

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA.
This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.
As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.
We're looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes. High-performing geospatial analysts with strong technical coursework or demonstrated experience in Python, machine learning, or NLP are encouraged to apply.
Staffing Requirement
The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve multiple mission areas. They will design and develop solutions to complex problems using applied statistics, machine learning techniques, and algorithm development, while collaborating with teammates and customers to translate complex findings into mission-relevant insights. Any data management solutions created should take into consideration modernization objectives, including AI-enabled workflows, modernized database applications, and enterprise-level integration.
Primary Responsibilities
  • Provide GEOINT/Data Science expertise to assure continuity of data provision to analytical users.
  • Statistical analysis, machine learning modeling, and NLP-driven analysis of structured and unstructured data.
  • Automating repetitive data management and analytic workflows using Python.
  • Clean, convert, migrate, and organize structured and unstructured geospatial and text-based data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative and ML-driven analysis in a clear, precise, and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
  • Create/deploy/maintain tools to extract features, data, and metadata from a variety of sources, including rasters, vectors, text, and other source databases.
  • Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process and enable AI/ML workflows.
  • Deliver service solutions that integrate best practices to modernize current practices, including AI-enabled and NLP-driven analytics.
  • Perform data investigations on complex problems using applied statistics, machine learning, and algorithm development while collaborating with domain experts.
  • Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APIs.
  • Data visualization of production metrics of in-house created data.

Basic Requirements
  • Strong geospatial experience, including hands-on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
  • 5 - 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
  • 3-5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
  • Prior experience in customer footprint supporting analytic production.
  • Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real-world problems.
  • Experience working with geospatial data in data science or analytic workflows.
  • Knowledge and experience using version control tools such as Git.
  • Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
  • Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
  • Knowledge and experience using APIs.
  • Knowledge and experience using applied statistics and building algorithms.
  • Ability to present technical findings clearly to non-technical stakeholders.
  • Willingness to provide sample code portfolios (e.g., GitHub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
  • Requires a BA degree and 4 - 8+ years of prior relevant experience or Masters with 2 - 6+ years of prior relevant experience.

Preferred Requirements
  • Experience applying machine learning and/or NLP specifically to geospatial or intelligence problems.
  • Experience transitioning from geospatial analysis into data science or AI/ML-focused roles.
  • Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
  • Experience performing data analysis to identify trends, anomalies, and opportunities within complex datasets.
  • Knowledge of ESRI tools including ArcGIS/ArcPro and Arc Server.
  • Knowledge of database systems and architecture.
  • Ability writing SQL and NoSQL.
  • Understanding of cloud architecture, infrastructure, services (including geospatial-specific microservices), and DevOps.
  • Experience working with geospatial data in multi-user enterprise environments.
  • Experience analyzing existing production systems and recommending enhancements to enable AI/ML and data science capabilities.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
March 25, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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