Data Scientist

The National Geospatial-Intelligence Agency (NGA) is the world leader in Geospatial Intelligence. We analyze imagery and data from many sources and incorporate it into visual displays of essential information for use in national defense, homeland security and safety of navigation. The extraordinary talents and skills of our teams of analysts and other professionals are vital to our success as the worldwide provider of GEOINT.

Know the World, Show the Way...from Seabed to Space!

Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products and services. They apply advanced mathematical, statistical, and scientific techniques and principles (e.g., probabilistic modeling, machine learning, computer vision, natural language processing) to examine complex problems and create insights from data. They interpret a variety of data sources, conduct data mining and retrieval, develop scripts and algorithms, and use a range of tools (e.g., coding languages, visualization software, GIS) to perform their work and communicate their findings.

They translate intelligence or business problems into actionable data models and document and share repeatable studies, analysis, and products, as well as continually refine solutions. Data Scientists also manage data projects or teams, including collaborating with other data and IT subject matter experts to ensure the design and development of data-oriented products and services, such as data flow pipelines and applications.

EDUCATION REQUIREMENT:

A.

Education:

Bachelor’s degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

-OR
- B. Combination of

Education and Experience:

A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities.

As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.

As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards.

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