Data Scientist

Peraton•McLean, VA

About The Position

Peraton is seeking a Data Scientist subject matter expert to analyze and resolve key questions related to national security issues facing the United States. The role contributes to intelligence production and supports the creation of internal capabilities that improve the effectiveness of analytic teams. The ideal candidate has experience supporting the Intelligence Community, strong attention to detail and time management skills, and the ability to work independently and collaboratively in a fast-paced environment. The position is contingent upon contract award.

Requirements

  • Current TS/SCI clearance with polygraph.
  • Bachelor’s degree and 12 or more years of relevant experience, master’s degree and 10 or more years, or PhD and 7 or more years; four additional years of relevant experience may be considered in lieu of a degree.
  • Proven data science background and experience using multiple programming languages, such as Python, R, and Ruby.
  • Experience providing recommendations and technical support to enhance data management and database creation.
  • Extensive experience correlating and interpreting large amounts of data and presenting findings clearly and concisely.
  • Experience with data visualization and reporting.
  • Strong interpersonal, written, and oral communication skills.
  • Ability to communicate effectively with diverse technical and non-technical audiences.
  • Ability to apply critical thinking to resolve issues independently with minimal supervision.

Nice To Haves

  • Experience supporting national-level customers.
  • Experience working in the customer’s operational environment.
  • Knowledge of Intelligence Community policies and procedures and the ability to apply them to meet customer needs.

Responsibilities

  • Analyze data collection and recommend opportunities to automate processes.
  • Collaborate with internal and external partners on data collection strategies and opportunities to enhance collection.
  • Support the ingest, use, and management of data while ensuring activities adhere to applicable customer and community standards.
  • Maintain quality standards as directed by program leadership and support corrective actions as needed.
  • Support initiatives to enhance customer tools and close capability gaps.
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