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Summary The National Counterproliferation and Biosecurity Center (NCBC) leads the Intelligence Community and the interagency to counter and halt the proliferation of weapons of mass destruction, their delivery systems, related technologies, and expertise. The NCBC also serves as the lead for the integration, mission management, and coordination of intelligence activities pertaining to biosecurity and foreign biological threats Responsibilities Devise data science programs by identifying strategic methodological issues and areas of focus to support decision making by the most senior policymakers. Translate complex, technical findings into an easily understood narrative, including through the appropriate and creative use of visualizations and within technical documentation. Engage with customers to understand changing needs and requirements; determine substantive questions. Offer recommendations for resolution based on quantitative analysis. Collaborate with IC collectors and analysts to acquire, process, and refine gaps on complex intelligence problems; devise creative all source data collection strategies to fill intelligence gaps; task specific collections resource. Independently develop the identification of new sources of intelligence and advance quantitative query. Devise quantitative analysis, ensuring all products incorporate multiple lines of inquiry and are fully coordinated with all stakeholders. Determine approaches and strategies to market statistical and methodological services to new or potential partners or customers. Compile and review often disparate and inconsistent data to address the most complex intelligence issues or problems for the most senior internal/external customers. Devise 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. Conceive complex statistical, mathematical, geospatial modeling, and data mining analysis independently or in partnership with other Data Scientist or Analyst colleagues. Requirements Conditions of Employment Must be a current permanent ODNI employee. OR Must be a current permanent Federal employee Must have supervisory approval to apply to the Joint Duty Assignment. Must be currently at the grade level of the detail. No Temporary Promotion Opportunity The program does not apply to members of the Military service or contractors. Qualifications Mandatory Requirements: Thorough knowledge of appropriate analytic methods and methodological tools in one or more of the following areas: Applied Mathematics (e.g. probability and statistics, formal modeling, computational social sciences); Computer Programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing); and Visualization (e.g. GIS/geospatial analysis, telemetry analysis). Thorough knowledge of research designs. Demonstrated ability to develop comprehensive computer software applications, as needed. Ability to use analytic methods and methodological tools focused on mathematics, computing, and presentation to derive information from structure and unstructured data sources. Ability to translate complex, technical findings into an easily understood narrative (i.e. tell story with data). Analytical and critical thinking skills, including superior ability to think strategically. Ability to apply intellectual curiosity; apply creativity and innovation to go beyond current tools to deliver the best solution to complex problems. Ability to leverage knowledge of the data science community to identify opportunities to provide data-driven solutions to complex problems. Experience with data analysis, programming, and visualization. Excellent communication and customer service skills including the ability to express facts, anticipate substantive questions, and formulate quantitative solutions. Ability to translate complex, technical findings into an easily understood narrative. Working knowledge of common program languages and tools (e.g. Python, R, JAVASCRIPT, BOOTSTRAP, ANGULAR, SQL, Tableau). Qualifications To qualify for this position, applicants must meet all requirements by the closing date of this announcement. Bachelor's degree in a quantitative or technical field of study (e.g. Applied Mathematics--probability and statistics, formal modeling, computational social sciences, Computer Programming--programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis). or Combination of education and experience: At least 8 years of experience in a quantitative or technical field of study (e.g. Applied Mathematics--probability and statistics, formal modeling, computational social sciences, Computer Programming--programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis). The overall rating evaluation of qualifications will also include the following competencies: Ability to Focus on the End Goal Attention to Detail Communication (Verbal and Written) Critical Thinking Customer Service Flexibility Influencing/Negotiating Interpersonal Effectiveness Positive Attitude Problem Solving Resourcefulness Think Effectively on Your Feet Understanding the Problem before Attempting Solutions 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; religions; 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. Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment. In order to qualify for this position, your resume must provide sufficient experience and/or education, knowledge, skills, and abilities to perform the duties of the specific position for which you are being considered. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. Negotiation and leadership skills, the ability to exert influence and build consensus, and experience in reconciling competing interests. Desired Requirements: Experience with all-source strategic or tactical intelligence analysis and familiarity with a wide range of IC data sets. Experience creating new tools and services. Education Bachelor's degree. Additional Information Job Interview Travel: Candidates from outside the Washington, D.C. area may be selected for a telephone, teleconference, or in-person interview. Salary Determination: A current Federal Government employee, selected for a detail, will be assigned to the position at their current grade and salary. Other Information REASONABLE ACCOMMODATIONS FOR PERSONS WITH DISABILITIES: The ODNI provides reasonable accommodations to otherwise qualified applicants with disabilities. IF YOU NEED A REASONABLE ACCOMMODATION for any part of the application and hiring process, please notify the Reasonable Accommodation Office Representative by classified email at DNIDiversityWMA@cia.ic.gov, by unclassified email at DNI_DRA@dni.gov, by telephone at 703-275-3900 or by FAX at 703-275-1217. Your request for reasonable accommodation will be addressed on a case-by-case basis. PLEASE DO NOT SUBMIT YOUR APPLICATION TO THE EEOD EMAIL ADDRESS. THIS EMAIL IS FOR REASONABLE ACCOMMODATION REQUESTS ONLY. The ODNI is an equal opportunity employer and abides by applicable employment laws and regulations.