Data Scientist

Peraton•McLean, VA
•$112,000 - $179,000

About The Position

Peraton is seeking a mid-level Data Scientist 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 (IC), strong attention to detail and time management skills, and can work independently and collaboratively in a fast-paced environment. This position is contingent upon contract award.

Requirements

  • Current TS/SCI clearance with polygraph.
  • Bachelor’s degree and 5 or more years of relevant experience, master’s degree and 3 or more years of relevant experience, or PhD and no minimum years of relevant experience; alternatively, 4 additional years of relevant experience may be considered in lieu of a degree.
  • Data science background and experience using multiple programming languages, such as Python, R, and Ruby.
  • Ability to provide recommendations and technical support to enhance data management and database creation.
  • 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 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 on data collection strategies and opportunities to enhance collection.
  • Support data ingestion, use, and management while ensuring activity adheres to applicable customer and community standards.
  • Maintain quality standards set by the program leadership team and support corrective actions as needed.
  • Engage with colleagues on initiatives to enhance customer tools and close capability gaps.
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