As a Data Scientist for CIA, you will organize and interpret data to inform U.S. decision-makers, drive successful operations, and shape CIA technology and resource investments. Through CIA’s global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. You will also create scalable, high performance, and repeatable computational solutions which realize their algorithmic approaches. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic, and technical conferences as well as collaboration with the Intelligence Community
Requirements:
Bachelor’s degree preferably in a quantitative science, engineering, or social sciences field; At least a 3.0 GPA on a 4-point scale; Experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational Social Science; Computer Science; Data Analytics; Economics; Engineering; Geospatial Analysis; Mathematics; Operations Research; Quantitative Finance; Statistics
Text:
Data Scientist As a Data Scientist for CIA, you will organize and interpret data to inform U.S. decision-makers, drive successful operations, and shape CIA technology and resource investments. Through CIA’s global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. You will also create scalable, high performance, and repeatable computational solutions which realize their algorithmic approaches. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic, and technical conferences as well as collaboration with the Intelligence Community Bachelor’s degree preferably in a quantitative science, engineering, or social sciences field; At least a 3.0 GPA on a 4-point scale; Experience in a science, technology, engineering or mathematics (STEM) related field, such as: Computational Social Science; Computer Science; Data Analytics; Economics; Engineering; Geospatial Analysis; Mathematics; Operations Research; Quantitative Finance; Statistics
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