Position is in support of the U.S. Army CCDC C5ISR Center Sustaining Base Network Assurance Branch (SBNAB). Program objective is to address today's cyber threats by designing and deploying game-changing cyber defense capabilities that allow organizations to defend better, react faster, coordinate rapidly, prioritize efforts, and respond smarter to security events, increased risks, and/or operational directives.
Description: 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. Considered an emerging authority, who applies extensive technical expertise. Develops technical solutions to complex problems. Exercises considerable latitude in determining objectives and approaches to assignment. Strong background in statistics and applied mathematics (5 years +). Proficiency in translating research findings into a specific plan for implementation. Experience developing and improving multiple aspects of classification processes, including solid understanding of multiple machine learning techniques to inform algorithm selection and strong creativity and practicality in feature generation and classifier evaluation. Strong data visualization and story-telling skills. Experience in presenting findings to audiences of varying backgrounds. Experience with statistical programming languages and packages including R, SAS, SPSS, etc.
1. Bachelor's (or equivalent) with 8 yrs of experience, or a Master's and 6 yrs of experience.
2. Requires active TS/SCI clearance.
3. Requires current Information Assurance IT-III Certification (CASP+ CE, CCNA-Security, CISA, CISSP (or associate), GCED, GCIH) and current Computing Environment certification IAW DoD 8570.01-M.