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Computer Science Research Jobs in Virginia (NOW HIRING)

Verisign

Research Engineer

Reston, VA · Hybrid

$108K - $147K/yr

PhD in Computer Science, Information Systems, or related technical field highly preferred ... Experience in research engineering, ideally with a mix of professional and academic experience

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Computer Science Research information

What is a computer science research?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in computer science research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the key skills and qualifications needed to thrive in computer science research, and why are they important?

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

How to become a computer science researcher?

To become a computer science researcher, typically a candidate needs a strong foundation in computer science through a bachelor's degree, followed by advanced education such as a master's or Ph.D. in a specialized area. Developing skills in programming, data analysis, and research methodologies, along with publishing research papers and gaining experience through internships or research projects, is essential.

What are the top 3 jobs with a computer science research degree?

Computer science research degrees often lead to roles such as research scientist, data scientist, and software engineer. These positions typically require strong analytical skills, programming knowledge, and familiarity with machine learning, algorithms, or data analysis tools. They are common in academia, tech companies, and research institutions.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, analyzing data, designing experiments, and publishing findings to advance the field. Strong programming skills and knowledge of research methodologies are essential for this role.

What kind of research can you do in computer science research?

Computer science research involves exploring areas such as algorithms, artificial intelligence, machine learning, cybersecurity, data science, software engineering, and human-computer interaction. Researchers often work on developing new technologies, improving existing systems, and solving complex computational problems using programming languages, data analysis tools, and experimental methods.

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 Computer Science Research jobs in Virginia?

For Computer Science Research jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Computer Science Research jobs in Virginia look for?

The top searched job categories for Computer Science Research jobs in Virginia are:

What cities in Virginia are hiring for Computer Science Research jobs?

Cities in Virginia with the most Computer Science Research job openings:

Computer Science Research jobs near you
Infographic showing various Computer Science Research job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Data Scientist (Clearance Required)

Whiteboard Federal Technologies

Chantilly, VA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Whiteboard Federal Technologies is seeking a Data Scientist to provide mission-critical support to their customers. The role involves evaluating and using algorithms for Natural Language Processing, Artificial Intelligence, and Machine Learning, while working with large data sets to perform entity resolution and extraction.
Responsibilities:
• Create and track accuracy and performance metrics.
• Gather data required for analysis and model building.
• Prototype models by using high-level modeling languages such as R or in software languages such as Python.
• Create, enhance, and maintain technical documentation.
• Experience building predictive and optimization models.
• Expert knowledge in at least one of the following fields: machine learning, operations research, data science research.
• Fluency in a high-level modeling language.
• Ability to do financial and statistical modeling.
• Working knowledge of SQL.
• Strong communication, influencing, and partnership skills.
• Experience with Big Data technologies.
Qualifications:
Required:
• Outstanding analytical abilities
• Comfortable working with cross-functional teams and systems
• Self-starter and able to learn on the go
• Excellent written and verbal communication skills
• Evaluate and use algorithms for Natural Language Process (NLP), Artificial Intelligence (AI), and Machine Learning (ML)
• Use large data sets to perform entity resolution and extraction for work products
• Create models to test the effectiveness of different courses of action
• Create and track accuracy and performance metrics
• Gather data required for analysis and model building
• Prototype models by using high-level modeling languages such as R or in software languages such as Python
• Create, enhance, and maintain technical documentation
• Experience building predictive and optimization models
• Expert knowledge in at least one of the following fields: machine learning, operations research, data science research
• Fluency in a high-level modeling language
• Ability to do financial and statistical modeling
• Working knowledge of SQL
• Strong communication, influencing, and partnership skills
• Experience with Big Data technologies
• A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience
• Industry experience in predictive modeling, data science, and analysis
• Clearance TS/SCI+
Preferred:
• Proficiency in at least one modern programming language such as Python or Java
• Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives
• Ability to convey rigorous mathematical concepts and considerations to non-experts
• Experience designing and supporting large-scale distributed systems in a production environment
Company:
Whiteboard Federal Technologies is an IT company specializing in software engineering services. Founded in 2009, the company is headquartered in Reston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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