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Remote Computer Science Student Jobs in Woodbridge, VA

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 ...

... 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 ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... Computer Science, Information Technology, or a related discipline (or equivalent experience) • 8+ years experience in data engineering development • 5+ years experience working in object oriented ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Showing results 41-60

Remote Computer Science Student information

What is a remote computer science student?

A remote computer science student is someone who is studying computer science online, rather than attending classes in person. This allows them to access coursework, lectures, and assignments through digital platforms from anywhere with an internet connection. Remote students often interact with professors and classmates via email, discussion boards, or video calls. This flexible learning format can be beneficial for those balancing other commitments or living far from campus.

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

AspectRemote Computer Science StudentRemote Software Developer
Required CredentialsEnrolled in a computer science program, often no professional certifications neededTypically holds a degree or certification in software development or related field
Work EnvironmentPart-time or internship roles, flexible hours, learning-focusedFull-time or project-based, professional work environment
Employer & Industry UsageEducational institutions, internships, entry-level projectsTech companies, startups, freelance projects
Search & Comparison IntentLooking for learning opportunities, internships, or entry-level rolesSeeking professional remote software development jobs

The main difference between a Remote Computer Science Student and a Remote Software Developer lies in their experience and employment status. Students focus on learning and internships, often without professional certifications, while software developers are experienced professionals working on projects. Both roles may work remotely, but their responsibilities and career stages differ.

What are some effective strategies for staying engaged and productive as a remote computer science student?

As a remote computer science student, maintaining engagement and productivity can be challenging due to fewer in-person interactions and the need for self-discipline. Setting a structured daily schedule, actively participating in virtual discussions, and regularly collaborating with peers on group projects can help. Utilizing online resources, seeking feedback from instructors, and joining virtual study groups are also effective ways to stay connected and motivated. It's important to create a dedicated workspace and set clear goals to manage your time efficiently and avoid distractions.

What are the key skills and qualifications needed to thrive as a remote computer science student, and why are they important?

To thrive as a Remote Computer Science Student, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by enrollment in a computer science degree program. Familiarity with coding platforms (like GitHub), learning management systems (such as Canvas or Blackboard), and collaboration tools (like Zoom and Slack) is common. Self-motivation, time management, and strong written communication skills are essential soft skills for remote study success. These competencies ensure effective learning, collaboration, and progress in a virtual academic environment.
What are popular job titles related to Remote Computer Science Student jobs in Woodbridge, VA? For Remote Computer Science Student jobs in Woodbridge, VA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Student jobs in Woodbridge, VA look for? The top searched job categories for Remote Computer Science Student jobs in Woodbridge, VA are:
What cities near Woodbridge, VA are hiring for Remote Computer Science Student jobs? Cities near Woodbridge, VA with the most Remote Computer Science Student job openings:

Hyperspectral Image Scientist

Leidos

Springfield, VA • On-site, Remote

$92K - $166K/yr

Full-time

Re-posted 19 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 483 rated business services


Job description

Leidos is actively interviewing for a Senior Hyperspectral Image Scientist to join our team in Springfield, VA.

Job Summary

Senior technical position responsible for leading the analysis, exploitation, and interpretation of hyperspectral and multispectral imagery in support of government missions. The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This position requires on-site support at a government facility and close collaboration with analysts, engineers, program managers, and mission stakeholders.

Primary Responsibilities

  • Lead the development, evaluation, and application of hyperspectral image analysis methodologies.

  • Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify, classify, and characterize materials, objects, and activities of interest.

  • Develop, refine, and validate spectral-based algorithms for detection, unmixing, anomaly detection, change detection, target identification, and material classification.

  • Conduct preprocessing and calibration workflows, including radiometric correction, atmospheric correction, and geometric correction.

  • Build and maintain spectral libraries and support signature analysis, endmember extraction, and spectral matching.

  • Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources.

  • Prepare technical reports, briefings, white papers, and documentation for government stakeholders.

  • Advise leadership and mission teams on capabilities, limitations, and best practices related to hyperspectral sensing and exploitation.

Required Technical Skills

  • Hyperspectral and multispectral image exploitation

  • Spectral signature analysis and spectral library development

  • Material identification and classification

  • Sub-pixel analysis and spectral unmixing

  • Anomaly detection and change detection

  • Radiometric, atmospheric, and geometric correction

  • Algorithm development and validation

  • Python, MATLAB, ENVI/IDL, GIS, and scientific scripting

  • Data visualization and technical reporting

Work Environment

  • Work will be performed primarily on-site at a government facility.

  • Limited travel may be required based on program needs.

Basic Qualifications

  • 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 of relevant professional experience in hyperspectral image analysis, spectral science, remote sensing, or related technical disciplines.

  • Demonstrated experience with hyperspectral and multispectral imagery exploitation in government, defense, intelligence, or applied research environments.

  • Strong knowledge of spectral phenomenology, imaging spectroscopy, and remote sensing principles.

  • Experience with image processing and scientific analysis tools such as MATLAB, Python, ENVI/IDL, ArcGIS, or equivalent platforms.

  • Experience developing and implementing algorithms for spectral detection, classification, target recognition, or anomaly detection.

  • Strong written and verbal communication skills, including the ability to present technical findings to both technical and non-technical audiences.

  • Active TS/SCI clearance with ability to be approved for a Poly

Preferred Qualifications

  • Master's degree or Ph.D. in a relevant scientific or engineering discipline.

  • Experience supporting DoD, IC, NGA, NGA-related, or other federal mission environments.

  • Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology.

  • Experience with machine learning or artificial intelligence methods applied to hyperspectral data.

  • Experience working with large-scale datasets, cloud-based analytics, or high-performance computing environments.

  • Knowledge of geospatial data standards, data fusion, and operational tasking workflows.

#GEOINTMISSION

#NSBA

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:May 20, 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 onlyand 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

Sourced by ZipRecruiter

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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