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Remote Computer Science Opt Jobs in Ashburn, VA (NOW HIRING)

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 ...

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have ... Computer Science, Information Technology Management or Engineering, or other comparable degree or ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... Master's degree in Computer Science, Engineering, or related field. * Experience with data ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... Master's degree in Computer Science, Engineering, or related field. * Experience with data ...

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

As of Jun 11, 2026, the average yearly pay for remote computer science opt in Ashburn, VA is $104,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $117,600.00 per year, depending on experience, location, and employer.

What are Remote Computer Science OPT jobs?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

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

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

How do remote Computer Science professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.
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Senior Hyperspectral Image Scientist

Senior Hyperspectral Image Scientist

Leidos

Springfield, VA • On-site, Remote

$92K - $166K/yr

Full-time

Posted 21 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

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.

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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