MITRE’s mission-driven teams are dedicated to solving problems for a safer world. Through our public-private partnerships and federally funded R&D centers, we work across government and in partnership with industry to tackle challenges to the safety, stability, and well-being of our nation.

Our inclusive and diverse workforce takes advantage of this collaborative environment to approach the toughest challenges with creativity and technical rigor. While MITRE hires interns and graduates from a variety of STEM backgrounds, we are also interested in hiring skilled critical and alternative thinkers with majors and experiences outside of STEM, in particular the behavioral sciences, business strategy and data-driven health fields.  

Job Description:

What will you do at MITRE as an early career professional in Data Science?

MITRE’s Data Scientists 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 that early career Data Scientists have worked on?

·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 MITRE look for in its early career Data Scientists?

·Pursuing a Bachelors, Masters or PhD in Data Science, Computer Science, Data Analytics, Statistics, Operations Research, Math or related

·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

Additional Information

·       We are seeking Software Engineering candidates at our main campuses in Bedford, MA and McLean, VA, and also at a variety of site locations including, but not limited to Colorado Springs, CO; San Diego, CA; Aberdeen, MD; Eatontown, NJ; Hampton Roads, VA; and Tampa, FL.  

·       Due to the nature of our work, MITRE can only hire those authorized to work permanently in the U.S. and who do not require employer sponsorship either now or in the future.