About The Position

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE’s internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE’s Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com).

Requirements

  • Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines.
  • Must continue to be enrolled the semester following the internship.
  • Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
  • Must have sustained excellence in academic performance.

Nice To Haves

  • Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting.
  • Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
  • Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements.

Responsibilities

  • Data analysis and visualization
  • Augmented decision-making and trusted analytics
  • Applied mathematics, statistics, and optimization
  • Simulation and computational analytics
  • Systems modeling and analysis
  • Operational effectiveness and efficiency
  • Knowledge discovery
  • Next-generation data environments
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