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Science Computer Salary Jobs in Virginia (NOW HIRING)

Maxar

Data Scientist

Reston, VA

Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related ... In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

Statistics, Mathematics, Data Science, Computer Science, or Engineering * 4+ years of experience in ... The annual salary for this position is: $138,500.00 - $221,600.00 May be eligible for bonus and ...

CarMax, Inc.

Senior Manager, Data Science

Richmond, VA · On-site

Statistics, Mathematics, Data Science, Computer Science, or Engineering * 4+ years of experience in ... The annual salary for this position is: $138,500.00 - $221,600.00 May be eligible for bonus and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Statistics, Mathematics, Data Science, Computer Science, or Engineering * 4+ years of experience in ... The annual salary for this position is: $138,500.00 - $221,600.00 May be eligible for bonus and ...

Red Arch Solutions

Ontologist/Data Scientist

Reston, VA · On-site

$195K - $210K/yr

Bachelor's degree in library science, Information Science, Data Science, Computer Science ... Salary for this position $195,000-210,000 #CJ The Red Arch Solutions pay range for this job level ...

Vantor

Data Scientist (TS/SCI with CI Poly)

Reston, VA · On-site

Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related ... In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The ...

Vantor

Data Scientist (TS/SCI with CI Poly)

Reston, VA · On-site

Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related ... In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The ...

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All JobsScience Computer Salary JobsScience Computer Salary Jobs in Virginia

Science Computer Salary information

What computer science jobs pay well?

High-paying computer science jobs include software engineers, data scientists, machine learning engineers, and cybersecurity managers, often requiring strong programming skills and advanced degrees. These roles typically offer higher salaries due to their technical complexity and demand in various industries.

What professions make $500,000 a year?

Professions that can reach $500,000 annually include senior roles in technology such as software engineering managers, data scientists, and cybersecurity executives, especially with extensive experience, advanced skills, and often in leadership positions. High-level roles in finance, law, and specialized medical fields can also achieve this income level, often supplemented by bonuses, stock options, or profit sharing.

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

To thrive as a Computer Scientist, you need strong analytical skills, a solid foundation in mathematics and programming, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), algorithms, and tools like version control systems is essential. Critical thinking, problem-solving, and effective collaboration are standout soft skills for this role. These competencies enable computer scientists to develop innovative solutions, work efficiently in teams, and adapt to rapidly evolving technology landscapes.

What is a typical salary for a computer scientist?

The salary for a computer scientist can vary widely depending on factors such as education, experience, industry, and location. In the United States, the median annual wage for computer and information research scientists was about $136,620 as of 2022, according to the U.S. Bureau of Labor Statistics. Entry-level positions may start at a lower salary, while experienced professionals or those in specialized fields can earn significantly more. Additional factors like advanced degrees and working for large tech companies can also lead to higher wages.

What are some common challenges faced by computer scientists in a collaborative work environment?

Computer scientists often work as part of cross-functional teams, which can present challenges such as aligning on project goals, integrating diverse technical perspectives, and managing communication across different disciplines. Balancing individual deep-focus tasks with group meetings and code reviews can also be demanding. Adapting to rapidly changing technologies and maintaining clear documentation for shared codebases are essential for effective teamwork. Cultivating strong collaboration and communication skills can help overcome these challenges and contribute to successful project outcomes.

What is the difference between Science Computer Salary vs Data Scientist?

AspectScience Computer SalaryData Scientist
Required CredentialsBachelor's or higher in Computer Science, related fieldsBachelor's or higher in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, academiaTech firms, finance, healthcare, research organizations
Employer & Industry UsageResearch institutions, universities, tech companiesBusiness analytics, AI development, data analysis

Both roles typically require similar educational backgrounds and work in tech-driven environments. While Science Computer roles focus on research and development in computing, Data Scientists analyze data to inform business decisions. Salary differences depend on experience, location, and industry, but both are highly valued in the tech sector.

What professions make $200,000 a year without a degree?

In the field of science computing, high-paying roles such as data scientists, software engineers, and cybersecurity specialists can reach or exceed $200,000 annually, often through experience, specialized skills, and certifications like cloud or security credentials. Many of these roles prioritize skills and practical knowledge over formal degrees, especially in tech-driven environments.

What tech jobs pay $400,000 a year?

In the field of science computing, senior roles such as Principal Data Scientist, Lead Machine Learning Engineer, or Chief Data Officer can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in AI and big data, and leadership responsibilities. These positions often require advanced degrees, specialized technical expertise, and a track record of impactful projects.
What are popular job titles related to Science Computer Salary jobs in Virginia? For Science Computer Salary jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Science Computer Salary jobs in Virginia look for? The top searched job categories for Science Computer Salary jobs in Virginia are:
Science Computer Salary jobs near you

Data Scientist

Maxar

Reston, VA

Full-time

Retirement

Re-posted 23 days ago

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph.

This project supports a hard and deeply buried target mission set,providingcritical analytic insights to government stakeholders. Success depends on the development ofaccurate, scalable, and mission-tailored data solutions that enabletimelyand informed decision-making. The work directlyimpactsnational securityobjectivesby transforming complex data into actionable intelligence in a highly specialized and sensitive domain.

Responsibilities:

  • Automate andmaintaindata extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.

  • Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).

  • Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.

  • Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.

  • Write clear, well-structured documentation of methods, assumptions, and results;assistwith briefings or presentations to technical and non-technical stakeholders.

  • Support the use of Large Language Models (LLMs) within existing systems and workflows, including:

  • Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.

  • Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.

  • Assistingwith deployment and evaluation of internal LLM-enabled tools or assistants.

  • Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.

Minimum Qualifications:

  • Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.

  • 5 years of professional experience in data science, analytics, or data engineering roles.

  • Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related discipline.Degree may be substituted with anadditional2 yrs of experience.

  • Strong codingproficiencyinPythonandSQL,with experience writing production-quality, maintainable code; working knowledge of R is a plus.

  • Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn,PyTorch, TensorFlow), and automation tools.

  • Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.

  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.

  • Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.

  • Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.

Preferred Qualifications:

  • Master's degree in data science, computer science, statistics, engineering, or a related technical field.

  • Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and scalable data processing pipelines.

  • Working knowledge of NLP techniques, embeddings, vector search, or retrieval-augmented generation (RAG).

  • Experience integrating LLMs into applications or workflows using APIs and open-source tooling.

  • Exposure to CI/CD, version control, testing frameworks, and software engineering best practices.

  • Interest in responsible AI principles, model evaluation, and risk-aware deployment of LLM-based solutions.

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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