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Remote Applied Computer Science Jobs in Alexandria, VA

... statistics, applied mathematics, data science, computer science, operations research or other ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... statistics, applied mathematics, data science, computer science, operations research or other ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Hyperspectral Image Scientist

Springfield, VA ยท On-site +1

$92K - $166K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Advanced degree, such as a Master's, in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or another closely related quantitative or mathematical discipline ...

Advanced degree, such as a Master's, in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or another closely related quantitative or mathematical discipline ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

Data Scientist

Arlington, VA ยท On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

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Remote Applied Computer Science information

See Alexandria, VA salary details

$89.4K

$109.7K

$145K

How much do remote applied computer science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote applied computer science in Alexandria, VA is $109,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $123,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Applied Computer Science vs Remote Software Developer?

AspectRemote Applied Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science or related field; certifications varyBachelor's in Computer Science or related field; certifications optional
Work EnvironmentResearch, data analysis, algorithm development, often in tech or academiaDesign, coding, testing, and maintaining software applications
Employer & Industry UsageTech companies, research institutions, academiaTech firms, startups, software development agencies
Common Search & ComparisonYesYes

Remote Applied Computer Science focuses on research, algorithms, and data analysis, often in academic or research settings. Remote Software Developers primarily design and build software applications. While both roles require a computer science background, their daily tasks and industry applications differ significantly.

What are popular job titles related to Remote Applied Computer Science jobs in Alexandria, VA? For Remote Applied Computer Science jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Remote Applied Computer Science jobs in Alexandria, VA look for? The top searched job categories for Remote Applied Computer Science jobs in Alexandria, VA are:

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA โ€ข On-site, Remote

$97K - $135K/yr

Full-time

Posted 5 days ago


Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.
An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.
Responsibilities
  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Qualifications
Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

Global Comp
$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.