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Internship Applied Mathematics Intern Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

Over the course of this internship, you will work directly with our dynamic team of applied ... INTERN

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How much do internship applied mathematics intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship applied mathematics intern in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Applied Mathematics Intern vs Data Analyst Intern?

AspectInternship Applied Mathematics InternData Analyst Intern
Required CredentialsRelevant coursework in applied math, basic programming skillsStatistics, data analysis, programming skills (Python, SQL)
Work EnvironmentResearch labs, finance, tech companies, academiaBusiness, finance, tech firms, consulting
Employer & Industry UsageUniversities, research institutions, industries requiring quantitative analysisCorporations, consulting firms, startups
Common Search & ComparisonYesYes

The Internship Applied Mathematics Intern typically focuses on mathematical modeling, problem-solving, and research in environments like academia or research labs. In contrast, a Data Analyst Intern emphasizes data collection, analysis, and visualization within business or corporate settings. Both roles require analytical skills, but their applications and industries differ.

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What cities are hiring for Internship Applied Mathematics Intern jobs? Cities with the most Internship Applied Mathematics Intern job openings:
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Internship Applied Mathematics Intern jobs near you
Infographic showing various Internship Applied Mathematics Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Applied Mathematics & Statistics Intern

Applied Optimization

Fairborn, OH • On-site

Part-time

Re-posted 11 days ago

Job description

Applied Optimization (AO) Job Description

Job Title: Applied Mathematics & Statistics Intern              Reports to: Principal Scientist
FLSA Status: Part-Time (Non-Exempt)                                  Department: Space Science
Position Objective:
  • To support an interdisciplinary team that develops new generation scientific algorithms in space science through mathematical modeling, statistical analysis, applications of machine learning and artificial intelligence techniques, and implements these into numerical analysis and software deliverables to our customers.
Essential Functions:
  • Support the development and testing of mathematical models of real data
  • Support the implementation of mathematical formulae and algorithms into software code
  • Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms
  • Support modifying and debugging code
  • Perform verification and quality assurance for new and existing mathematical algorithms and code
  • Help prepare and review presentations, papers, and reports to convey statistical analysis, mathematical modeling, and software development to customers
  • Ensure accuracy of your work and follow procedures in documenting work; maintain notebook of daily activities and provide weekly reports of work
  • Other duties as assigned
Required Qualifications:
  • Undergraduate or graduate student currently enrolled in a program related to the field of mathematics or statistics with a superior academic record
  • Basic understanding of software development and knowledge of various programming languages
  • Attention to detail and effective time and schedule management skills
  • Effective organizing, planning, and problem-solving skills
  • Ability to adapt within a small team to support evolving customer requirements
  • Ability to adapt between and balance work falling under a range of research topics including additive manufacturing, space research, and optics
  • Ability to execute instructions and communication in written, oral, and diagram form
  • Demonstrated strong writing, fact-gathering, and analytical skills
  • Basic computer skills including, but not necessarily limited to, Microsoft Office products (e.g., Outlook, Word, Excel, and PowerPoint)
Preferred Qualifications:
  • College sophomore or higher with cumulative GPA (Grade Point Average) of 3.5 or higher
  • A minor or dual degree in computer science or computer engineering
  • Theoretic knowledge and experience of Agile software development practices and UML
  • Knowledge or experience in Python, MATLAB, and/or C++ programming languages
  • Knowledge or experience in Git management and use for collaborative projects
  • Experience with machine learning, artificial intelligence, and numerical optimization techniques
Citizenship/Security Clearance Requirements:
  • U.S. Citizen or Green Card Holder
  • May be required to obtain and maintain U.S. Government Security Clearance
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.
Employment Structure:
  • In-office attendance is required; remote work is not available at this time.
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.