Data Science Intern

The MITRE Corporation•Colorado Springs, CO

1d•$46,500 - $69,500•Hybrid

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.

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.
Ability to obtain and maintain a DoD Secret or Top Secret security clearance

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.
Demonstrated experience in any of the following areas: AI/ML, software development and debugging, cybersecurity, communication networks, operations research, data science/analysis.

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
Conducting research on AI/ML application
Develop software to analyze data, diagnose system errors and automatically produce options to remediate
Writing technical reports
Create testing plans including selecting software and hardware