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The MITRE Corporation Cyber Analytics, Intermediate in Bedford, Massachusetts

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 Center for Securing the Homeland (CSH) Cyber Analytics Department (P742) is seeking a Cybersecurity Data Scientist who will join a team of Data Scientists, Analysts, and Engineers. The explosion of data and complexity of problems facing MITRE’s sponsors requires an innovative approach which MITRE is leading through the application of new technology and techniques. You will work on real-world problems through the application of sound engineering principles. Candidates who identify as Data Engineers, Data Scientists, Cloud Engineers, Software Developers, or Software Engineers will be considered strong candidates for this position.

A successful candidate will:

  • Be comfortable contributing to tasks, contributing to a team or working independently.

  • Incorporate feedback and strive for a continuous growth mindset.

  • Assess the audience and tailor feedback with the receiver’s point of view in mind.

  • Display technical leadership and a growth mindset to learn new skills.

  • Be comfortable working across multiple projects to solve difficult problems requiring data analytic expertise.

  • Respect a diversity of opinion and encourage diversity in the organization.

Roles & Responsibilities:

  • Demonstrate excellent written and verbal communication skills.

  • Perform data wrangling, analyze large and diverse datasets and demonstrate expertise with at least one modern programming language such as Python, R, Java or Scala

  • Organize and visually display analytic results for further analysis.

  • Help prepare comprehensive written reports, presentations, and charts based on research, collection, and analysis of data.

Basic Qualifications:

  • Active DHS Fitness clearance or ability to obtain it within the first year of service.

  • Excellent written and verbal communication skills, adapted to a variety of audiences.

  • Proven skills in data science related to data wrangling and analysis of data.

  • Typically requires a Bachelor’s degree and a minimum of 2 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.

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

Preferred Qualifications:

  • Experience in a customer-facing environment.

  • Experience working with teams.

  • Experience with cyber analytics.

  • Experience with data visualization.

  • Demonstrated experience visualizing multi-dimensional data using tools such as Tableau, Qlik, Kibana, neo4j, ggplot2, Plotly, matplotlib, or D3.js.

  • Demonstrated experience with one modern programming language such as Python, C++, or Java

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

Fitness - DHS

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


Work Location Type:


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