Duties
Devise data science programs by identifying strategic methodological issues and areas of focus to support decision making by the most senior policymakers.
Prioritize research and other projects; establish project goals.
Engage with customers to understand and participate 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 develops 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.
Compilation, independently, 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.
Conceive, prepare and communication an extensive range of strategic, high complex graphics, computational models/tools, or written/oral assessments on significant or contentious issues for the most senior internal and external customers (e.g. policymakers, IC components, Agency executives).
Other duties, as assigned.
Conditions of Employment
Qualifications
Mandatory Requirements:
Thorough knowledge of individual, organizational, and technical or transnational issues of national security concern.
Thorough knowledge of business operations and associated processes.
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 leverage multiple data management tools to organize relevant information and make decisions.
Ability to apply intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solution to complex problems.
Ability to effectively communicate complex, multi-disciplinary ideas and insights.
Ability to identify and/or develop business opportunities.
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 multitask and change focus quickly as demands change.
Ability to evaluate data drawing pertinent inferences from data trend analysis, and interpretation of such inferences in keeping with the requirements of officials responsible for planning or for making policy decisions
Bachelor's degree required.
Desired Requirements:
Generally, six years of related work experience.
Experience using the Python programming language.
Experience in natural language processing, machine learning, and/or cloud computing.
Education
Bachelor's degree.
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