Intelligencecareers
Senior Data Scientist
Intelligencecareers, Mc Lean, Virginia, us, 22107
The Office of the Director of National Intelligence (ODNI) Directorate for Mission Integration (MI) creates a consistent and holistic view of intelligence from collection to analysis and serves as the Director of National Intelligence's (DNI) principal advisor on all aspects of intelligence. MI integrates mission capabilities, informs enterprise resource and policy decisions, and ensures the delivery of timely, objective, accurate, and relevant intelligence.
Mandatory requirements: Demonstrated ability to apply analytic, quantitative, and qualitative techniques to analyze, evaluate, and recommend appropriate alternatives to complex issues. 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). Extensive knowledge of the IC and its components, missions, and interrelationships. Extensive experience developing data visualization tools to meet customer needs. Extensive experience cleaning, normalizing, and otherwise enhancing the fidelity of data. Demonstrated ability to translate complex, technical findings into an easily understood narrative (i.e. tell story with data). Demonstrated ability to multitask and change focus quickly as demands change. Bachelor's degree in quantitative or technical field of study (e.g. statistics, mathematics, computer science, physical science, economics, Geographic Information Systems).
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Mandatory requirements: Demonstrated ability to apply analytic, quantitative, and qualitative techniques to analyze, evaluate, and recommend appropriate alternatives to complex issues. 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). Extensive knowledge of the IC and its components, missions, and interrelationships. Extensive experience developing data visualization tools to meet customer needs. Extensive experience cleaning, normalizing, and otherwise enhancing the fidelity of data. Demonstrated ability to translate complex, technical findings into an easily understood narrative (i.e. tell story with data). Demonstrated ability to multitask and change focus quickly as demands change. Bachelor's degree in quantitative or technical field of study (e.g. statistics, mathematics, computer science, physical science, economics, Geographic Information Systems).
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