Intelligence
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.
The program is seeking a junior/mid-level Data Scientist/Systems Engineer who is an analytical thinker and practical problem solver capable of leveraging and exploiting data to drive key insights and intelligence to support the organization’s strategic and tactical goals. The Systems Engineer will play a key role in supporting the Data Science needs of stakeholders through custom and scalable reports, data visualization and analysis. They will perform complex engineering analysis of components of the Systems Engineering “V” and provide consultancy across a dynamic and evolving mission environment. Certain elements of the analysis will require an understanding of the IC’s Commercial Cloud Service (C2S) and an understanding of machine learning.
Responsibilities
Required Qualificaitons:
Preferred Qualifications
What matters to our nation, is what matters to us. At Perspecta, everything we do, from conducting innovative research to cultivating strong relationships, supports one imperative: ensuring that your work succeeds. Our company was formed to bring a broad array of capabilities to all parts of the public sector—from investigative services and IT strategy to systems work and next-generation engineering.
Our promise is simple: never stop solving our nation’s most complex challenges. And with a workforce of approximately 14,000, more than 48 percent of which is cleared, we have been trusted to just that, as a partner of choice across the entire sector.
Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories.