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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.

This requisition requires the candidate to have a minimum of the following clearance(s):

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Salary compensation range and midpoint:

$77,500 - $97,000 - $116,500 Annual

Work Location Type:

Hybrid

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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Benefits information may be found here (https://careers.mitre.org/us/en/benefits) .

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