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The MITRE Corporation Natural Language Processing Data Scientist (Air and Space Force Center) in McLean, Virginia

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.

Department Summary:

The Globally Contested Logistics and Supply Chain department (N154) within the Operations in Contested Environment Division (N150), aims to holistically address Logistics and Supply Chain challenges that face our nation, with a focus on the Department of Defense. We accomplish our mission by preparing for and sustaining power projection while our logistics is deliberately threatened.

Roles & Responsibilities:

  • Apply a variety of analytical techniques to tackle Sponsor challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization

  • Contribute to development, test and evaluation, and demonstration of advanced analytic capabilities

  • Build and test prototypes in MITRE, government labs, and commercial cloud environments

  • Apply state of the art techniques, using multiple programming languages and development environments and open-source code to drive advances in mission capabilities

Basic Qualifications:

  • Typically requires a Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or related field

  • and a minimum of 1 years of related experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.

  • Must be a U.S. citizen with ability to obtain and maintain a DoD clearance

  • At least 1 year of applicable experience

  • Passion for using data to solve challenging real-world problems

  • Hands on proficiency using data science techniques including data cleaning, data fusion, statistical modeling, and data visualization

  • Experience with commonly used analytic tools such as Python, SAS, MATLAB, R, Java

  • Familiarity with data visualization tools such as Tableau, ggplot2, Plotly, Matplotlib, Seaborn, or D3.js.

  • Ability to formulate complex algorithms and processes to solve complex data problems

  • Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills

  • This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

  • Preference given to qualified candidates with an active DoD Secret clearance

  • Demonstrated ability to develop software applications, user interfaces, databases and embedded software.

  • Previous experience working with the DoD

  • Experience using data science to address challenges for government or DoD Sponsors

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

None

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

None

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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