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Remote Computer Science Research Jobs in Virginia

Research / Scientific The postdoctoral researcher will work at the Hydrologic Innovation and Remote ... D. in Earth Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental ...

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ... Computer Science, or a related technical field. * Minimum of 12-15 years of relevant professional ...

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

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Remote Computer Science Research information

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

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

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

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Virginia? The most popular types of Computer Science Research jobs in Virginia are:
What are popular job titles related to Remote Computer Science Research jobs in Virginia? For Remote Computer Science Research jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Virginia look for? The top searched job categories for Remote Computer Science Research jobs in Virginia are:
What cities in Virginia are hiring for Remote Computer Science Research jobs? Cities in Virginia with the most Remote Computer Science Research job openings:
Senior Product Manager (Data Science TS/SCI) with Security Clearance

Senior Product Manager (Data Science TS/SCI) with Security Clearance

VivSoft Technologies LLC

Springfield, VA โ€ข On-site, Remote

$132K - $174K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 29 days ago


Job description

About VivSoft VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning.

Position Overview The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agency's Digital Intelligence Environment (DIE). Key Responsibilities As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will: * Analyze large, complex datasets to identify patterns, trends, and insights that improve NGA mission capabilities.

Work collaboratively within multidisciplinary teams to solve complex, interdependent analytical and operational challenges. Identify high-value data sources and automate data collection, ingestion, and mining processes. * Perform preprocessing and feature engineering on structured and unstructured datasets.

Translate analytical findings into actionable product insights and recommendations. Provide strategic guidance on the applicability and direction of industry-standard AI/ML solutions. * Contribute specialized expertise to define near- and long-term product milestones and roadmaps.

Monitor model and product performance, supporting continuous improvement and long-term planning. Evaluate organizational operational and functional baselines using data-driven and industry best-practice approaches. * Participate in account strategy sessions, technical reviews, and design reviews to validate enterprise AI/ML approaches.

Stay current with emerging AI/ML technologies, research, tools, lessons learned, and best practices, applying them to NGA's mission environment. Serve as an interface between stakeholders, users, data scientists, and engineering teams. * Engage directly with users to uncover underlying needs and validate analytical and product solutions.

Collaborate with product managers, program managers, engineers, and external partners to shape product vision and execution. Work closely with software engineering and MLOps teams to deliver scalable, secure, and mission-ready ML solutions. * Support the full product lifecycle, from concept and experimentation through deployment, evaluation, and sustainment.

Communicate and advocate product and analytical insights to both technical and non-technical audiences. Represent the NGA AI/ML Program at government and industry events as needed. Required Qualifications * Bachelor's degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related discipline.

Strong critical-thinking skills with the ability to support collaborative problem solving in a team-based environment. Experience working in Agile/Scrum environments; familiarity with Agile methodologies or certifications (e.g., Scrum Master). * Working knowledge of multiple programming languages and statistical packages, as well as data tooling used in AI/ML environments.

Experience analyzing large datasets and applying analytical methods to drive product and mission decisions. Strong analytical and problem-solving skills, with the ability to use data and metrics to inform product strategy. * Minimum of 6 months of experience working in or supporting AI-related initiatives.

Demonstrated adaptability and curiosity in AI, including continuous learning through research, coursework, workshops, or hands-on experimentation. Desired Qualifications Master's degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related field. * Relevant certifications in Product Management, Project Management, Agile, or Data Science.

Experience leading or contributing to high-performing teams delivering IT or AI-enabled solutions. Deeper familiarity with AI/ML concepts, algorithms, and current industry trends. * Experience working in cross-functional environments with data scientists, engineers, vendors, and military professionals.

Prior experience supporting joint military, Intelligence Community, or DoD environments. Benefits: Comprehensive Medical, Dental, and Visions Plans Life Insurance Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) 401K Retirement Plan with employer match Professional Development Training Reimbursement * Flexible/remote work schedule.