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　　NOTE: You are not applying for a specific position. Applying to this pipeline requisition will put you in a candidate pool that will be viewed by technical leaders and recruiters for internship opportunities across the company.

　　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 an Intern 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

　　Applied mathematics, statistics, and optimization

　　Simulation and computational analytics

　　Systems modeling and analysis

　　Operational effectiveness and efficiency

　　Knowledge discovery

　　Next-gen data environments

　　Basic Qualifications

　　Must be a student enrolled full-time pursuing an accredited degree seeking program in Data Science or a related degree program and continue to be enrolled full-time the semester following the internship

　　Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods

　　Understanding with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting

　　Preferred Qualifications

　　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 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

　　Has had previous internships, work experience or research experience in their field of study

　　Has applied learning outside of a classroom through involvement in student clubs, competitions, self-learning or similar events or activities in their field of study

　　Is involved in activities that require strong collaboration such as involvement in student clubs/organizations or other types of extracurricular activities

　　Demonstrates an interest in serving the public good by participating in volunteer activities

　　High level of excellence in academic performance demonstrated by such things as high GPA, additional major or minor or certificates/certifications, enrolled in a 5- year Bachelors/Masters

　　Clearance: In addition to passing MITRE’s employment background check, you may be submitted for a U.S. Government Security clearance. Please see adjudicative guidelines for receiving a clearance, to include U.S. citizenship [LINK]. 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:

　　$45,500 - $57,000 - $68,500 Annual

　　Work Location Type:

　　Hybrid

　　MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .

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