Data Scientist

Peraton•McLean, VA

2d•$112,000 - $179,000

About The Position

Peraton is seeking a mid-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 improve the effectiveness of analytic teams. The successful candidate brings experience supporting the Intelligence Community (IC), strong attention to detail and time-management skills, and the ability to work independently and collaboratively in a fast-paced environment. The Data Scientist analyzes collected data, identifies opportunities to automate processes, and helps improve data collection strategies and capabilities in collaboration with internal and external partners. The position also supports data ingestion, use, and management in accordance with applicable customer and community standards; helps maintain quality standards and implement corrective actions; and works with colleagues on initiatives to enhance customer tools and address capability gaps. The position requires a current TS/SCI clearance with polygraph. The typical salary range is $112,000–$179,000. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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 0 or more years of relevant experience. Four 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 for improving data management and database creation.
Experience correlating and interpreting large amounts of data and communicating 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 the 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 data collection strategies and identify opportunities to enhance collection.
Support data ingestion, use, and management while ensuring activity follows applicable customer and community standards.
Maintain quality standards as directed by program leadership and support corrective actions as needed.
Work with colleagues on initiatives to enhance customer tools and close capability gaps.
Contribute to intelligence production and the development of internal capabilities that enhance analytic teams.