Applied Mathematics & Statistics Intern

Summary

Applied Optimization is a growing organization located in Fairborn, OH, seeking an Applied Mathematics & Statistics Intern. The role involves supporting an interdisciplinary team in developing scientific algorithms through mathematical modeling, statistical analysis, and the application of machine learning and artificial intelligence techniques.

Responsibilities

• 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

Skills

• 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)
• U.S. Citizen or Green Card Holder
• May be required to obtain and maintain U.S. Government Security Clearance
• 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

Qualifications

Must Haves

• 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)
• U.S. Citizen or Green Card Holder
• May be required to obtain and maintain U.S. Government Security Clearance

Nice to Haves

• 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

Benefits

• A comprehensive benefits package