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Computer Science Jobs in Richmond, VA (NOW HIRING)

Capital One

Senior Associate, Data Science

Richmond, VA · On-site

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience ...

Posted today

Capital One

Manager, Data Scientist

Richmond, VA · On-site

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience ...

Varsity Tutors

Computer Programming Tutor

Richmond, VA · Remote

$18 - $40/hr

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

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All JobsComputer Science JobsComputer Science Jobs in Richmond, VA

Computer Science information

See Richmond, VA salary details

$52K

$76.4K

$90.1K

How much do computer science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computer science in Richmond, VA is $76,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $86,000.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

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

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What jobs can I do with computer science?

With a degree or background in computer science, you can pursue roles such as software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, or database administrator. These jobs often require programming skills, knowledge of algorithms, and familiarity with tools like programming languages, operating systems, and development environments.
More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Richmond, VA? The most popular types of Computer Science jobs in Richmond, VA are:
What are popular job titles related to Computer Science jobs in Richmond, VA? For Computer Science jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Richmond, VA look for? The top searched job categories for Computer Science jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Computer Science jobs? Cities near Richmond, VA with the most Computer Science job openings:
Computer Science jobs near you
Infographic showing various Computer Science job openings in Richmond, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,426 per year, or $36.7 per hour.

Senior Manager, Data Science - US Card (Upmarket Segments)

Hobbsnews

Richmond, VA • On-site

$209 - $238.50/hr

Other

Posted 2 days ago

New

Job description

Senior Manager, Data Science – US Card (Upmarket Segments)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting‑edge technology in 1988. Fast‑forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data‑driven decision‑making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Role Description
  • Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies—including Python, Conda, AWS, H2O, Spark, and more—to reveal insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate Is
  • Customer first. You love the process of analyzing and creating, and share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
  • Innovative. You continually research and evaluate emerging technologies and stay current on state‑of‑the‑art methods, technologies, and applications to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems, love asking questions, and push hard to find answers. You’re not afraid to share a new idea.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
  • Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
  • Statistically‑minded. You have built, validated, and backtested models, interpreted a confusion matrix or a ROC curve, and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. “Big data” doesn’t faze you. You can retrieve, combine, and analyze data from a variety of sources and structures and know that understanding the data is key to great data science.
Basic Qualifications
  • Currently have, or are in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics.
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
  • At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis.
  • At least 2 years of experience working with machine learning.
  • At least 2 years of experience utilizing relational databases.
Preferred Qualifications
  • PhD in STEM (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
  • At least 1 year of experience working with AWS.
  • At least 1 year of experience managing people.
  • At least 5 years’ experience in Python, Scala, or R for large‑scale data analysis.
  • At least 5 years’ experience with machine learning.
Compensation and Benefits
  • Chicago, IL: $209,000 – $238,500 for Senior Manager, Data Science
  • McLean, VA: $229,900 – $262,400 for Senior Manager, Data Science
  • New York, NY: $250,800 – $286,200 for Senior Manager, Data Science
  • Richmond, VA: $209,000 – $238,500 for Senior Manager, Data Science

Benefits include a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Work Authorization: Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Equal Opportunity Employer

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.

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