Data Centric Intelligence PaaS

Location: Reston, VA, United States
Date Posted: 07-11-2017
Must be able to maintain a Polygraph clearance. Will be able to start with a TS/SCI.
A bachelor's degree or equivalent training.
Must have at least ten years of specialized experience in the information technology field.
Software environment, DevOps Processes, EPS and platform capabilities, DoDIIS availability infrastructure C2S, AWS, VMware, GovCloud, best practices such as data mining, predictive analytics, text analytics. Create a Data Centric Architecture.
Specific industry experience in information technology with various aspects of the software development life cycle to include agile techniques, best practices and standards. Defines the problems and analyzes and develops plans and requirements in the subject matter area for moderately complex to complex systems. Prepares analysis, evaluations, and recommendations for proper implementation of programs and systems specifications. Must be able to communicate effectively with client stakeholders and development team.  Work  to design and implement visualization to inform senior leadership, including dynamic and interactive content displays. Deliver data visualizations to communicate information clearly and efficiently to the audience, enabling data-driven decisions and analysis. The visualizations products may be dynamic or static, must be reusable and repeatable and have the ability to be recreated on a periodic basis as needed. Intent to create repeatable, reusable profiles/queries/stored procedures, shall deliver a dynamic data visualization product that changes as the data against it changes. (geographical, graphical, textual, object or link analysis, relationship mapping). Deliver a data environment that enables the integration of data sources such as advanced analytic algorithms can be applied and yield analytics results supporting visualization to inform senior level decision makers and line level analysts. Work to identify mission impact dashboards and analytics. Identification of data sources required to populate the customer Logical data repository, support analytic efforts and display in data visualization. Implement and/or integrate COTS, GOTS, and open source tools which support data science techniques and theories to extract knowledge and insights from customer data holdings and deliver capabilities which modernize Analytics and Visualizations. Implement indexes in support of analytics, dashboards, and visualizations. Transition maintenance of these indexes to government designation customer contract or engineering group.
 

 
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