The Intelligence group provides high-end systems engineering and integration products and services, data analytics and software development to national and military intelligence customers. Serving federal agencies and the Intelligence Community for more than 50 years, the Intelligence group helps our clients meet their mission needs by providing trusted advisors, leading-edge technologies, and innovative solutions.
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.
Bachelor’s degree in Math, Statistics, or Data Science
Requires 18+ years with BS/BA or 16+ years with MS/MA or 12+ years with Ph.D.
Clearance: Posseses a TS/SCI w/ Poly
Python – 4 yrs
SQL – 4 yrs
Mathematica – 3 yrs
R – 1 yr
Programming in Windows – 1 yr
Programming in Linux – 1 yr
Interacting w/ large, complex data sets – 1 yr
Developing algorithms for data analysis tasks – 4 yrs
Applying statistical methods to data analysis – 3 yrs
Manipulating networking & telecom data – 1 yr
Application Deadline: 1 Oct 2019
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