LEAD COMPUTER SCIENTIST
Naval Air Systems Command
Posted: February 11, 2026 (0 days ago)
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U.S. Coast Guard
Department of Homeland Security
Location
District of Columbia
Salary
$143,913 - $187,093
per year
Type
Full Time
More IT & Technology jobs →Closes
Base salary range: $104,604 - $135,987
Typical requirements: 1 year specialized experience at GS-13. Senior expert or supervisor.
Note: Actual salary includes locality pay (15-40%+ depending on location).
This senior role involves leading data science efforts to detect and prevent insider threats within the U.S. Coast Guard by analyzing large datasets and building automated systems.
The job focuses on turning complex information into practical recommendations to protect the agency's operations and technology.
It's ideal for an experienced data scientist with a strong background in machine learning and team leadership who thrives in high-stakes security environments.
This position is located within the United States Coast Guard, Coast Guard Counterintelligence Service (CGCIS) Insider Threat Division.
This position is the senior Computer Scientist for the USCG's Insider Threat Program.
The USCG's Insider Threat Program is required by Executive Order 13587 to provide proactive detection, deterrence, and mitigation of risks posed by individuals with authorized access to the USCG's assets, information, technology, and operations.
To qualify at the GS-14 grade level, applicants must have at least one (1) full year of specialized experience equivalent to at least the GS-13 grade level in the federal sector.
Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.
NOTE: All experience statements (i.e., duties, specialized experience, or occupational assessment questionnaire) copied from this announcement and pasted into your resume will not be considered as a demonstration of your qualifications for this position.
Specialized experience must include the following: Applying advanced data science techniques such as machine learning, statistical modeling, or artificial intelligence.
Developing and deploying analytical models using programming languages. Translating complex data into actionable insights for operational or strategic decision-making.
Leading or mentoring technical teams or serving as a subject matter expert. Implementing qualitative and quantitative methods for identifying large data sets.
Recommending standard business practices regarding information technology capabilities that support the agency's mission. NOTE: Education cannot be substituted for experience at this grade level.
National Service Experience (i.e., volunteer experience): Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social).
Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.
You will receive credit for all qualifying experience, including volunteer experience.
The Office of Personnel management (OPM) must authorize employment offers made to current or former political appointees.
If you are currently, or have been within the last 5 years, a political Schedule A, Schedule, C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Major Duties:
You will serve as the senior Computer Scientist for USCG Insider Threat Division whose mission is to detect, deter, and mitigate insider threats to the USCG.
You will serve as a Computer Scientist (Data Scientist) for the Insider Threat Program Manager. Being a Coast Guard (CG) civilian makes you a valuable member of the CG team.
Typical work assignments include: Development of advanced concepts of automation and information processing display, control, and transfer.
Research in computational complexity and the analysis of algorithms to explore data structures that lead to highly efficient combinatorial algorithms.
Investigation into the mathematical structure of deterministic context free languages.
Research into and development of custom code-based systems and subsystems to automate validated, repeating user/customer-driven processes Development of metric deriving algorithms Research in restructuring human-analyst theory and associated applied techniques into structured, validated, repeatable, accurate computer processes.
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