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Remote Computer Science Certificate Jobs in Virginia

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... certification) or equivalent experience. Desired: Ph.D. in physics, engineering, or remote-sensing.

Forensic Computer Analyst

Dulles, VA · On-site +1

$78K - $144K/yr

EDUCATION/CERTIFICATION: Bachelor's degree in computer sciences, forensic science, or a closely related field from a college or university accredited by a national or regional accreditation ...

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 ...

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Remote Computer Science Certificate information

What are the main challenges of completing a remote Computer Science certificate program while working full-time?

Balancing work responsibilities with coursework is a common challenge for those pursuing a remote Computer Science certificate while employed full-time. Time management and self-discipline are essential, as you’ll need to set aside regular study hours and meet assignment deadlines independently. Additionally, limited face-to-face interaction with instructors and classmates means you’ll need to proactively seek support and participate in virtual discussions. However, many programs offer flexible schedules, recorded lectures, and online forums to help you stay connected and on track.

What is a Remote Computer Science Certificate?

A Remote Computer Science Certificate is a credential earned by completing a computer science program online, rather than in a traditional classroom setting. These certificates are offered by universities and educational platforms and cover topics such as programming, algorithms, data structures, and more. They are designed for individuals who want to gain foundational or specialized knowledge in computer science, often to boost their careers or transition into tech roles. Remote certificates offer flexibility, allowing learners to study from anywhere and often at their own pace.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Instructor, and why are they important?

To thrive as a Remote Computer Science Instructor, you need a solid background in computer science fundamentals, programming languages, and a relevant degree or certifications. Familiarity with online teaching platforms, coding environments, and learning management systems (LMS) is essential. Strong communication, adaptability, and the ability to motivate and engage remote learners are key soft skills. These competencies enable effective knowledge transfer, student engagement, and successful outcomes in an online educational environment.
What are popular job titles related to Remote Computer Science Certificate jobs in Virginia? For Remote Computer Science Certificate jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Certificate jobs in Virginia look for? The top searched job categories for Remote Computer Science Certificate jobs in Virginia are:
What cities in Virginia are hiring for Remote Computer Science Certificate jobs? Cities in Virginia with the most Remote Computer Science Certificate job openings:

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted yesterday

New


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.