Data Scientist

Peraton•McLean, VA

About The Position

Peraton is seeking an expert-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 enhance the effectiveness of analytic teams. The successful candidate will bring 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. This position is contingent upon contract award.

Requirements

  • Current TS/SCI clearance with polygraph.
  • Bachelor’s degree and 8+ years of relevant experience, master’s degree and 6+ years of relevant experience, or PhD and 3+ years of relevant experience; 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 detailing 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 skills 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 that knowledge to meet customer needs effectively.

Responsibilities

  • Analyze data collected and recommend opportunities to automate processes.
  • Collaborate with internal and external partners to support the development of data collection strategies and identify opportunities to enhance collection.
  • Support data ingestion, use, and management while ensuring all activity adheres to applicable customer and community standards.
  • Maintain quality standards as directed by the program leadership team and support implementation of corrective actions as needed.
  • Engage with colleagues on initiatives designed to enhance customer tools and close capability gaps.
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