Entry Level - Data Science, Artificial Intelligence, Operations Research, Math and Statistics

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

, 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 Early Careers 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 roles across the company. If you are selected for consideration for a particular position a member of MITRE’s Early Careers recruiting team will reach out to you. You can monitor your application status here: Workday (myworkdayjobs.com).

Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following: • Data analysis and visualization • Augmented decision making and trusted analytics • AI architecture, strategy and policy • AI-enhanced decision making and insights • Generative AI and large language models • Machine learning operations • Applied math, statistics and optimization • Simulation and computational analytics • Systems modeling and analysis • Operational effectiveness and efficiency • Knowledge discovery • Next-gen data environments Basic Qualification • Must have a Bachelor’s, Master’s or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program • Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods • Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting • Sustained excellence in academic performance