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Math Major Computer Science Minor Jobs in Chantilly, VA

Saransh Inc

Sr Data Architect

Mclean, VA · On-site

$68 - $91/hr

Only B. Tech in Computer Science degree is allowed. (or) B E in Computer Science. The degree has to be 4 years , and with major - Computer Science. Role: * The Data Architect will be a key ...

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and ...

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and ...

Booz Allen Hamilton, Inc.

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

McLean, Virginia, USA Computer Scientist The Opportunity: As an analytics professional, you're ... mathematics, statistics, information science, AI, machine learning, probability modeling, data ...

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All JobsMath Major Computer Science Minor JobsMath Major Computer Science Minor Jobs in Chantilly, VA

Math Major Computer Science Minor information

See Chantilly, VA salary details

$10

$26

$60

How much do math major computer science minor jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for math major computer science minor in Chantilly, VA is $26.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $29.76 per hour, depending on experience, location, and employer.

What is a math major computer science minor?

A Math Major with a Computer Science Minor typically works in fields that require strong analytical and computational skills, such as data science, software development, finance, or applied mathematics. They use their mathematical background to solve complex problems and their computer science knowledge to implement algorithms or develop software solutions. Common roles include data analyst, software engineer, actuarial analyst, or quantitative researcher. Their unique skill set allows them to bridge the gap between theoretical math and practical computing applications.

What types of entry-level roles are available for candidates with a background as a math major and computer science minor?

Math Majors with a Computer Science Minor are frequently hired for entry-level positions such as data analyst, software engineer, quantitative analyst, research assistant, or business intelligence associate. In these roles, you may analyze data, write code, develop algorithms, or assist in software development projects, often as part of a collaborative, cross-functional team. This combination of skills opens doors to diverse industries including finance, technology, consulting, healthcare, and academia. As you gain experience, there are ample growth opportunities toward more specialized or senior positions such as data scientist, machine learning engineer, or quantitative researcher.

What are the key skills and qualifications needed to thrive in the math major computer science minor position, and why are they important?

A Math Major with a Computer Science Minor should have strong analytical, mathematical, and programming abilities, often supported by a bachelor's degree in mathematics with coursework in algorithms, data structures, and statistical analysis. Familiarity with tools like Python, MATLAB, R, or SQL, and experience using version control systems such as Git, are commonly required in technical roles. Excellent problem-solving, attention to detail, and strong communication skills help individuals collaborate effectively and present technical findings clearly. These skills and qualifications are vital for solving complex problems, driving data-driven decision-making, and succeeding in interdisciplinary technical environments.

What can I do with a math major computer science minor degree?

A math major with a computer science minor prepares graduates for roles such as data analyst, software developer, or quantitative analyst. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.

What can you do with a math major and computer science minor?

A math major with a computer science minor qualifies for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require strong problem-solving, programming skills, and knowledge of algorithms, with common tools including Python, Java, or SQL.

What jobs can I get with a math major computer science minor?

A math major with a computer science minor can pursue roles such as data analyst, software developer, quantitative analyst, or operations researcher. These positions often require strong analytical skills, programming knowledge in languages like Python or Java, and familiarity with data analysis tools or algorithms.

What are popular job titles related to Math Major Computer Science Minor jobs in Chantilly, VA?

For Math Major Computer Science Minor jobs in Chantilly, VA, the most frequently searched job titles are:

What job categories do people searching Math Major Computer Science Minor jobs in Chantilly, VA look for?

The top searched job categories for Math Major Computer Science Minor jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Math Major Computer Science Minor jobs?

Cities near Chantilly, VA with the most Math Major Computer Science Minor job openings:

Math Major Computer Science Minor jobs near you
Infographic showing various Math Major Computer Science Minor job openings in Chantilly, VA as of August 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 100% In-person job distribution, with an average salary of $54,170 per year, or $26 per hour.

COMPUTER SCIENTIST (AI INNOVATION LEAD)

Quantico, VA • On-site

Outreach Events
See more jobs at Outreach Eventsexternal

$167K/yr

Full-time

Posted 19 days ago

Key responsibilities

  • Lead major AI/ML initiatives in the innovation program and Software Factory.

  • Serve as the principal advisor on emerging software architecture and establish AI standards.

  • Ensure compliance with DoW and NIST AI frameworks.

Job description

DCSA is hiring a Computer Scientist (AI Platform Lead) to lead major AI/ML initiatives in our innovation program and Software Factory. You will serve as the principal advisor on emerging software architecture, establish the agency's AI standards, and ensure compliance with DoW and NIST AI frameworks. If you possess expert Agile software engineering experience and are ready to secure national security technologies through cutting-edge AI innovation, apply today!Qualifications:This position has a Basic Requirement for the 1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.
The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 09/07/2026
Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.
You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GG/GS-14 in the Federal service and are prepared to take on greater responsibility.
Generally, this would include one year or more of such specialized experience.
Specialized experience for this position includes: Experience in computer science theories to design, engineer, and implement complex Artificial Intelligence (AI) and Machine Learning (ML) software architectures within secure, high-impact environments. Experience in Agile methodologies and tools to manage enterprise-level projects, focusing on Minimum Viable Products (MVPs), continuous value assessments, and iterative software releases over traditional waterfall processes. Experience in establishing AI governance frameworks (such as case registries) and ensure compliance with federal standards such as AI NIST Risk Management Framework (RMF) principles. Experience navigating and leveraging the Software Acquisition Pathways to vet, acquire, and deploy modern software capabilities within a defense or national security framework. Experience with High-level communication and negotiation skills to liaise with critical external stakeholders and advocate for program priorities to senior military and civilian leaders.
Specifically you will be evaluated on the following competencies:
  1. Artificial Intelligence: Knowledge of the principles, methods, and tools used to design systems that perform human intelligence functions.
  2. Technical Credibility: Understands and appropriately applies principles, procedures, requirements, regulations, and policies related to specialized expertise.
  3. Strategic Thinking: Formulates objectives and priorities and implements plans consistent with the long-term interests of the organization in a global environment that takes into consideration the environment, resources, capabilities, constraints, and organization goals and values.
  4. Project Management: Knowledge of the principles, methods, or tools for developing, scheduling, coordinating, and managing projects and resources, including monitoring and inspecting costs, work, and contractor performance.
  5. Enterprise Architecture: Knowledge of principles, concepts, and methods of enterprise architecture to align information technology (IT) strategy, plans, and systems with the mission, goals, structure, and processes of the organization.
Education:Substitution of education may not be used in lieu of specialized experience for this grade level.Employment Type: OTHER

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