Extract qualitative and quantitative relationships, including patterns and trends from large amounts of data represented either numerically or categorically. Work under general supervision with few direct instructions. Carry out routine and semi-routine tasks.
-Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment
-Experience with using R, Perl, Python, SAS, or SPSS for the analysis of data
-Knowledge of an object-oriented language, including Java, C++, C#, or Python
-Knowledge of Hadoop, MapReduce, or HDFS
-Ability to obtain a security clearance
-Scheduled to obtain a BS degree in Winter 2018 or Spring 2019
-Possession of excellent data gathering, analytical, and problem-solving skills
-BS degree in CS, Computer Engineering, Systems Engineering, or a related field preferred; pursuing an MS degree in CS, Computer Engineering, Systems Engineering, or a related field a plus
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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