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Math Major Computer Science Minor Internship Jobs in Columbia, SC

Data Scientist - FCRM

Lexington, SC · On-site

$96K - $155K/yr

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

REQUIRED EDUCATION/CERTIFICATIONS: BS IN MATHEMATICS, ECONOMICS, COMPUTER SCIENCE, INFORMATION MANAGEMENT OR STATISTICS OR RELATED FIELD. 10 YEARS' OF RELEVANT WORK EXPERIENCE MAY BE SUBSTITUTED IN ...

Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field. * Excellent interpersonal and communication skills * Strong knowledge of data ...

Bachelor's degree in Computer Science, Mathematics, Management of Information Systems (MIS) or ... On-site cafeterias and fitness centers in major locations * Education Assistance * Service ...

Bachelor's Degree in Computer Science, Mathematics, Management of Information Systems (MIS) or ... On-site cafeterias and fitness centers in major locations. * Wellness programs and healthy ...

... Computer Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm experience preferred - Contributing to commercial analytics product development - Familiarity with ...

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Math Major Computer Science Minor Internship information

How can a math major computer science minor leverage their skills during an internship?

As a Math Major with a Computer Science Minor, you bring a strong analytical foundation and programming skills to your internship. You'll often be tasked with data analysis, algorithm development, or software testing, where your mathematical reasoning and coding abilities are highly valued. Collaborating with multidisciplinary teams, you'll contribute to problem-solving sessions and may assist in developing models or tools for real-world applications. This blend of skills not only allows you to take on complex technical tasks but also positions you well for future roles in data science, software engineering, or research.

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

To excel in a Math Major Computer Science Minor Internship, you need strong analytical skills, mathematical reasoning, programming knowledge, and a solid academic background in both mathematics and computer science. Familiarity with programming languages (such as Python, Java, or C++), software development tools, and data analysis platforms is typically expected. Problem-solving ability, effective communication, and a collaborative mindset are valuable soft skills that help interns succeed in team environments. These competencies ensure interns can tackle technical challenges, contribute meaningfully to projects, and adapt to the dynamic demands of technology-driven workplaces.

What is the difference between Math Major Computer Science Minor Internship vs Data Analyst?

AspectMath Major Computer Science Minor InternshipData Analyst
Required CredentialsRelevant coursework in math and CS, internship experienceDegree in math, statistics, or related field; some roles prefer certifications
Work EnvironmentInternship setting, often in tech or finance companiesOffice-based, data-focused roles in various industries
Industry UsageUsed for gaining experience and skills in tech, finance, or consultingAnalyzing data to inform business decisions across industries

The Math Major Computer Science Minor Internship provides hands-on experience combining math and CS skills, ideal for those exploring tech or finance fields. Data Analysts focus on interpreting data to support business strategies, often requiring similar educational backgrounds. Both roles involve working with data and technical skills, but internships are temporary learning positions, while Data Analysts are full-time roles with ongoing responsibilities.

What is a math major computer science minor internship?

A Math Major with a Computer Science Minor Internship is a work experience opportunity designed for students who are pursuing a major in mathematics and a minor in computer science. These internships allow students to apply their mathematical reasoning and computational skills in real-world settings, such as tech companies, finance, data analysis, or research labs. Interns often work on projects involving programming, data analysis, algorithm development, or modeling. The experience helps students build both technical and professional skills, making them more competitive for future jobs or graduate studies.
What are popular job titles related to Math Major Computer Science Minor Internship jobs in Columbia, SC? For Math Major Computer Science Minor Internship jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Math Major Computer Science Minor Internship jobs in Columbia, SC look for? The top searched job categories for Math Major Computer Science Minor Internship jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Math Major Computer Science Minor Internship jobs? Cities near Columbia, SC with the most Math Major Computer Science Minor Internship job openings:
Infographic showing various Math Major Computer Science Minor Internship job openings in Columbia, SC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Data Scientist- AFCENT 4.45

Credence

Shaw Air Force Base, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Overview
This role is being passively advertised to build a pool of qualified candidates for future openings as they become available.
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.
We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.
Credence has an upcoming need for a Data Scientist to support of the 9AF (AFCENT) Intelligence Directorate (9AF (AFCENT)/A2) Directorate mission in the United States Central Command (USCENTCOM) area of responsibility (AOR) and Shaw Air Force Base (AFB), SC 29152.
Responsibilities include, but are not limited to the duties listed below:
  • Provide expert support as a member of an analytic team working to innovate data-based solutions for USCENTCOM directed efforts to counter adversary SSM capabilities, producing new tactics, methods, models to be leveraged across the intelligence community.
  • Leverage all formal and informal analytic exchanges, as well as training opportunities, in order to understand data requirements and translate them into technical solutions. Build Data visualizations and reports on findings. Document data engineering processes, procedures, and standards for future reference. Communicate findings to stakeholders in a clear and concise manner
  • Maintain specialized intelligence and operations community accesses pertinent to their functional area (Alternate Compensatory Control Measures (ACCM) and access to Special Access Programs (SAP) information), to enhance situational awareness and planning support. Assist in designing, developing, and maintaining data pipelines, ensuring smooth data flow from diverse sources into our data warehouse. Develop and deploy machine learning models. Develop and implement data-driven solutions to complex problems
  • Generate actionable insights using predictive statistical models, segmentation analysis, threat profiling and data mining. Help optimize and tune data pipelines for performance and reliability.
  • Stay up to date with emerging data engineering technologies and best practices to contribute innovative ideas and improvements. Work with a variety of stakeholders to gather and understand data requirement. Collaborate with data scientists and software engineers to implement efficient and scalable data processing solutions.
  • Excellent written and oral communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and the ability to work both independently and as part of a team

Requirements
  • Minimum Top Secret security clearance with Sensitive Compartmented Information (TS/SCI) eligibility.
  • Bachelors in Statistics, Mathematics, Computer Science, Machine Learning, or any other related quantitative field with 10 years of experience.
  • Three to five (3-5) years of hands-on experience in AI/ML development
  • Proficiency in using Python and common AI/ML libraries and frameworks
  • Experience with SQL and relational databases
  • Formal Intelligence Analysis training. Plus but not required
  • Experience analyzing and briefing adversary surface-to-surface missile capabilities.
  • Experience with structured analytic techniques to develop new solutions for analytic gaps
  • Working knowledge of US Air Force Collection, Targeting, and Planning Processes
  • Working knowledge of USCENTCOM AOR, political/military threats, understanding of violent extremist organizations, terrorist organizations; working knowledge of intelligence analysis and TTPs.
  • Proficient in utilizing standard computer applications and intelligence related automation to support analytical efforts and product development

Preferred: Experience working with structured data and data scientists to develop analytic solutions to complex intelligence problems
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development