The MITRE Corporation Data Science / Operations Research / Statistics / Math Interns in Bedford, Massachusetts
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, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.
What will you do as a MITRE Data Science / Operations Research / Statistics / Math Intern ?
MITRE’s Data Science / Operations Research / Statistics / Math Interns help strengthen our sponsors’ effectiveness by using data analytics, statistical analysis, and modeling and simulations methods to drive analytically, defensible decisions. They apply advanced analytical and mathematical techniques to solve complex decision problems that require quantitative analysis to confidently select the best solution. Interns use high performance computing, cloud computing, big data analytics, and data visualization tools and techniques to improve system designs, to assist in making difficult policy and acquisition decisions, to maximize operational effectiveness and efficiency, and to achieve the highest quality engineering solutions.
What are some examples of projects Data Science / Operations Research / Statistics / Math Interns have done?
Applied state of the art data analytics and machine learning techniques to help solve challenging real-world problems in health care, transportation, and financial fraud
Compiled documentation and data for real world missile events and performed analysis on the effectiveness of reporting systems
Interpreted and created visualizations of large data sets using Tableau
Developed a genetic algorithm to compute the parameters of an analytical performance model most consistent with many simulation experiments
Supported performance simulations of a large, distributed database. Utilized transfer learning for multi-document summarization to simplify knowledge aggregation
Assisted in testing and developing a toolkit for neural topic modeling and variational autoencoders
Created interactive visualizations of gene expression data for clinician use
Used the Starcraft II (SCII) video game environment to evaluate modern deep reinforcement learning (RL) algorithms with the goal of developing DoD specific scenarios in the SCII editor that will require multi-agent cooperation
What does an ideal Data Analytics / Operations Research / Statistics / Math Intern have:
Pursuing a Bachelors, Masters or PhD in Data Science, Computer Science, Data Analytics, Statistics, Operations Research, Math or related. In some cases, high school students may also be considered
Demonstrated understanding of how to 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
Proficiency in one or more of the following: Python (scikit-learn, numpy, pandas, Jupyter), , Scala/Java, C/C++/C#, Objective C; Database design & development(SQL, Neo4J, MongoDB); AWS
On-going excellence in academic performance
High level desire to help their nation solve its most critical problems
Exhibits the characteristics of a continuous learner
Many of our jobs welcome those students who have an interdisciplinary approach to problem solving
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