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Geospatial Science Jobs in Virginia (NOW HIRING)

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

$185K - $228K/yr

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... S. in Data Science, Engineering, Math, Physics, Computer Science, or related field * 5+ years ...

Maxar

Applied Geospatial ML Engineer

Herndon, VA

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... S. in Data Science, Engineering, Math, Physics, Computer Science, or related field * 5+ years ...

GRVTY

Geospatial Data Scientist

Mclean, VA

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

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Geospatial Science information

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$62K

$76.7K

$91.7K

How much do geospatial science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for geospatial science in Virginia is $76,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $81,300.00 per year, depending on experience, location, and employer.

What is a Geospatial Science job?

A Geospatial Science job involves collecting, analyzing, and interpreting spatial data to understand geographic patterns and relationships. Professionals in this field use technologies like GIS (Geographic Information Systems), remote sensing, and GPS to support decision-making in areas such as urban planning, environmental management, and disaster response. Roles may include GIS analysts, cartographers, surveyors, or remote sensing specialists. These jobs are found in industries like government, agriculture, transportation, and defense. Strong analytical skills and proficiency in geospatial software are essential for success in this field.

What are the typical daily responsibilities for someone working in Geospatial Science?

Professionals in Geospatial Science typically spend their days collecting, analyzing, and interpreting spatial data using GIS and remote sensing technologies. Responsibilities often include creating digital maps, conducting spatial modeling, managing geospatial databases, and supporting environmental or urban planning projects. Collaboration with engineers, surveyors, and project managers is common, as is the need to present findings to stakeholders through reports or visualizations. The role offers a dynamic mix of independent technical work and teamwork, making it ideal for those who enjoy both in-depth analysis and collaborative problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Science position, and why are they important?

To succeed in Geospatial Science, you need strong analytical skills, a background in geography or environmental science, and proficiency in spatial data analysis. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools, and certifications such as GISP or Esri Technical Certification are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you work with interdisciplinary teams and convey complex spatial information. These competencies are crucial for ensuring accurate data interpretation and impactful decision-making in projects involving mapping, planning, or resource management.

What are popular job titles related to Geospatial Science jobs in Virginia? For Geospatial Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Geospatial Science jobs in Virginia look for? The top searched job categories for Geospatial Science jobs in Virginia are:
What cities in Virginia are hiring for Geospatial Science jobs? Cities in Virginia with the most Geospatial Science job openings:
Geospatial Science jobs near you
Infographic showing various Geospatial Science job openings in Virginia as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $76,692 per year, or $36.9 per hour.
Applied Geospatial ML Engineer

Applied Geospatial ML Engineer

Maxar Technologies, Inc.

Herndon, VA • On-site

Full-time

Retirement

Posted 10 days ago

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
This position requires an active U.S. Government Security Clearance at the TS/SCI level.
Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.
Responsibilities:
  • Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions
  • Engineer and transform diverse data types to support all phases of the AI/ML workflow
  • Architect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision)
  • Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
  • Stay current on AI/ML advances from industry and academia, applying them to government mission challenges
  • Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies
  • Communicate progress, results, risks, and challenges to government clients, partners, and project leadership
  • Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations

Minimum Qualifications:
  • Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
  • B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
  • 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
  • Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
  • Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
  • Experience with modern development practices, including version control, and CI/CD
  • Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
  • Competence with Linux environments

Preferred Qualifications:
  • Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related field
  • Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
  • Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
  • Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:
$185,000.00 - $228,000.00
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969

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