Data Scientist, Senior

Key Role:

Perform as a data scientist with a focus on computer science and apply knowledge of and expertise in distributed scalable Big Data store, including Accumulo, Cloudbase, HBase, Bigtable, and the MapReduce programming model. Leverage expertise in requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and diagnosis or resolution. Leverage knowledge of and use statistical methods on large data sets to characterize uncertainty through statistical methods. Leverage knowledge of large data set analysis and perform research and ensure study results are properly interpreted and documented.

Basic Qualifications:
-10+ years of experience with GEOINT domains
-5+ years of experience with developing software in Java, C, C++, or equivalent high level languages
-1+ years of experience with developing software for UNIX or Linux, including Red Hat, CentOS, or Ubuntu
-1+ years of experience with software integration or testing, including analyzing and implementing test plans and scripts
-1+ years of experience with MapReduce programming

-1+ years of experience with the Hadoop Distributed File System (HDFS) and JSON or BSON
-Experience with the design and development of object-oriented systems
-TS/SCI clearance

-BS degree

Additional Qualifications:
-Experience with deploying applications in a Cloud environment
-Experience with designing and developing automated analytic software, techniques, and algorithms

-Experience with Apache Spark or Apache Storm

-Experience with Apache Kafka

-Experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Bigtable

-MS degree in CS, Physics, Statistics, or Mathematics preferred; PhD degree in CS, Physics, Statistics, or Mathematics a plus


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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