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Math Major Computer Science Minor Internship Jobs in Ohio

Tri-C

Intern, Computer Science

Parma, OH · On-site

Internship Responsibilities and Activities: The primary goal of this internship is to review and update the Help isHere (HIH) app. Responsibilities include: Review and update the HIH app. * Develop a ...

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Math Major Computer Science Minor Internship information

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.

How can a Math Major with a 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 is a Math Major with a 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 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.

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Math Major Computer Science Minor Internship jobs near you
Computer Science/Computer Engineering Intern

Computer Science/Computer Engineering Intern

Applied Optimization

Fairborn, OH • On-site

Part-time

Posted 2 days ago

Job description

Responsive recruiter
Applied Optimization (AO) Job Description
Job Title: Computer Science/Computer Engineering Intern Reports to: Principal Scientist
FLSA Status: Part-Time (Non-Exempt)
Position Objective:
  • To support an interdisciplinary research and development team that collects data to analyze and implement new generation scientific algorithms in the areas of mechanical engineering or space science

Essential Functions:
  • Aid in designing, building, testing, and implementing software applications for computer networks
  • Provide technical support for object modeling and algorithm development for new generation science applications
  • Perform verification, documentation, and quality assurance for new and existing software
  • Support development and maintenance of hardware, software and other operating systems
  • Run software updates and backups
  • Perform research in computer operating systems
  • Interpret blueprints, technical drawings, schematics, and computer-generated reports
  • Ensure accuracy and follow documentation procedures for all work; maintain notebook of daily activities and provide weekly report of work
  • Other related duties as assigned

Required Qualifications:
  • Undergraduate or graduate student enrolled in a program related to the field of computer science or computer engineering with a superior academic record
  • General understanding of software development and knowledge of various coding languages
  • Attention to detail and effective time and schedule management skills
  • Effective organizing, planning, debugging, and problem-solving skills
  • Ability to adapt within a small team to support evolving customer requirements
  • Ability to execute instructions and communication in written, oral, and diagram form
  • Demonstrated strong writing, fact-gathering, and analytical skills
  • Basic computer and software skills including but not necessarily limited to Microsoft Office products (e.g., Outlook, Word, and Power Point)

Preferred Qualifications:
  • College sophomore or junior with a cumulative GPA (Grade Point Average) of 3.5 or higher
  • Minor or dual degree in mathematics or physics
  • Knowledge or experience in C++ object modeling/software development, Python, HTML, Java, C#, MATLAB, and/or other coding languages
  • Knowledge or experience in CSS, Django, D3-data visualization, and Linux
  • Knowledge of computer operating systems
  • Ability to occasionally work 2nd shift preferred

Citizenship/Security Clearance Requirements:
  • U.S. Citizen or Green Card Holder
  • May be required to obtain and maintain U.S. Government Security Clearance

Employment Structure:
  • In-office attendance; remote work is not available at this time

About Our Internships:
  • Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the student's class schedule. The weekly hours can be adjusted to balance for the examinations, tests and project submissions.

About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at www.appliedo.com.
This job description is subject to change.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law.
Applied Optimization
About Us
Since 1995, Applied Optimization, Inc. (AO) has been collaboratively discovering innovative solutions in material science and space science to address the technical challenges of our clients and partners in industry and government. Offering the right balance between critical thinking and non-conformity, our team of scientists, engineers, mathematicians, and software developers strive to further the understanding and state-of-the-art of additive manufacturing (AM), materials processing, space situational awareness, and space object characterization. Our software products' capabilities include optimizing AM process parameters, mitigating defects in build parts, and processing and exploiting photometry data from Earth's space domain.
Our Focus
We focus on interdisciplinary research and development of space science and materials science. From analyzing brightness data from man-made space objects in earth's orbit to mathematical modeling in AM processes, Applied Optimization's team is adept at assessing, researching, and developing optimized solutions for today's technological problems. We customize our technical solutions to customer needs to ensure specific answers for specific problems Our innovative solutions are designed to provide results when utilized in a client's day-to-day processes.
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