Data Scientist
Summary
Data Scientist leading quantitative, statistical, geospatial modeling, and data mining projects at the National Counterterrorism Center to support senior policymakers on complex national security and counterterrorism issues.
The National Counterterrorism Center (NCTC) leads the nation's effort to protect the United States from terrorism by integrating, analyzing and sharing information to drive whole-of-government action and achieve our national CT objectives.
Leads data science projects by identifying strategic methodological issues and areas of focus to support decision making by the most senior policymakers. Engages with customers to understand and participate changing needs and requirements; anticipate substantive questions. Offer recommendations for resolution based on quantitative analysis. Applies quantitative analysis, ensuring that all products incorporate multiple lines of inquiry and are fully coordinated with all stakeholders. Determines approaches and strategies to market statistical and methodological services to new or potential partners or customers. Coordinates the compilation and review of often disparate and inconsistent data to address the most complex intelligence issues or problems for the most senior internal and external customers. Coordinates accurate, timely, and sophisticated data analysis in support of the most complex key ODNI, United States national security and foreign policy objectives and to shape Intelligence Community analysis priorities. Conducts complex statistical, mathematical, geospatial modeling, and data mining analysis independently or in partnership with other Data Scientist or Analyst colleagues. Assists in building the conception, preparation, and communication of an extensive range of strategic, highly complex graphics, computational models and tools, or written or oral assessments on significant or contentious issues for the most senior internal and external customers (e.g., policymakers, IC components, Agency executives). Mentor the full range of data scientist to support employee and product development. Facilitate exploitation of quantitative and computational models, analytic methods and tools, geospatial modeling, and data/or data mining. Other duties, as assigned.