Entry Level-Data Science, Artificial Intelligence, Operations Research, Math and Statistics
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Job Description
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
Preferred Qualifications
Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position.
Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
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
Demonstrated interest in serving the public
Clearance: In addition to passing MITRE’s employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense’s adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned.