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Position: Data Scientist
Institution: Peraton
Location: Washington, D.C., United States
Duties: Support customer project initiatives by applying and utilizing new or established qualitative and quantitative methods to analyze and resolve analytical issues; Research opportunities for data acquisition and new uses for existing data as well as collaborate with respective government points of contact (POC) to perform exploratory and targeted data analyses, test working hypotheses; prepare, mine, and analyze structured, semi-structured, and unstructured data; and identify trends and patterns; Design and develop new, scalable tools, dashboards, and visualizations to enable users to consume and understand data more effectively and efficiently
Requirements: Bachelor’s degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, or Geographic Information Systems (GIS); Three (3) years of practical work experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods including two or more (exact, similar, or equivalent software) of the following: ESRI ArcGIS; MATLAB; SAS; SPSS Statistics
   
Text: Data Scientist Support customer project initiatives by applying and utilizing new or established qualitative and quantitative methods to analyze and resolve analytical issues; Research opportunities for data acquisition and new uses for existing data as well as collaborate with respective government points of contact (POC) to perform exploratory and targeted data analyses, test working hypotheses; prepare, mine, and analyze structured, semi-structured, and unstructured data; and identify trends and patterns; Design and develop new, scalable tools, dashboards, and visualizations to enable users to consume and understand data more effectively and efficiently Bachelor’s degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, or Geographic Information Systems (GIS); Three (3) years of practical work experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods including two or more (exact, similar, or equivalent software) of the following: ESRI ArcGIS; MATLAB; SAS; SPSS Statistics
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