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2554 - Data Scientist Technical Specialist

Annapolis, Maryland
TS/SCI with Polygraph

GENERAL DUTIES:

  • Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
  • Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
  • Handle processing and index requests against high-volume collections of data and high-velocity data streams.
  • Has the ability to make discoveries in the world of big data.
  • Requires strong technical and computational skills – engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
  • Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
  • Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++).
  • Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
  • Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
  • Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
  • Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr.
  • Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
  • Experience with machine learning, algorithm analysis, and data clustering.

REQUIRED QUALIFICATIONS:

  • BS 5-7 Years, MS 3-5, PhD 0-2

CLEARANCE:

  • TS/SCI with Polygraph minimum