Data Scientist

Peraton•McLean, VA

About The Position

Peraton is seeking a junior-level Data Scientist to analyze and help resolve issues related to U.S. national security. The role contributes to intelligence production and supports the development of internal capabilities that enhance the effectiveness of analytic teams. The successful candidate will work collaboratively in a fast-paced environment and bring attention to detail, strong time-management skills, and experience supporting the Intelligence Community (IC). This position is contingent upon contract award.

Requirements

  • Current TS/SCI clearance with polygraph.
  • A bachelor’s degree and at least 2 years of relevant experience; a master’s degree and at least 0 years of relevant experience; or no degree and at least 6 years of relevant experience. Four additional years of relevant experience may be considered in lieu of a degree.
  • Background in data science and experience with multiple programming languages, such as Python, R, and Ruby.
  • Ability to provide technical support for data management and database creation.
  • Experience correlating and interpreting large amounts of data and detailing findings clearly and concisely.
  • Experience with data visualization and reporting.
  • Proven interpersonal, written, and oral communication skills.
  • Ability to communicate effectively with diverse technical and non-technical audiences.
  • Ability to use critical thinking to resolve issues independently with minimal supervision.
  • Strong attention to detail and time-management skills, and ability to work effectively in a team in a fast-paced environment.

Nice To Haves

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

Responsibilities

  • Analyze collected data and recommend opportunities to automate processes.
  • Collaborate with internal and external partners to support development of data collection strategies and identify ways to enhance collection.
  • Support data ingestion, use, and management while ensuring activities adhere to applicable customer and community standards.
  • Maintain quality standards set by the program leadership team and support corrective actions as needed.
  • Support initiatives to enhance customer tools and address capability gaps.
  • Provide technical support for data management and database creation.
  • Correlate and interpret large amounts of data and communicate findings clearly and concisely.
  • Create data visualizations and reports.
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