|Location:||Reston, VA (22095)|
|Job Type:||Full Time|
|Posted:||5 days ago|
We look forward to you bringing your talent to add to our team supporting a robust, world-wide national intelligence program providing mission application design, development, engineering and integration services in support of the U.S. Intelligence Community. Peraton, a recognized leader in Cyber, Digital Transformation, Cloud, Operations and Engineering, is seeking skilled Data Scientists to join our team of professionals delivering technology services and capabilities in defense of the nation. You would be joining a team of professionals with over 10 years of outstanding support developing and sustaining mission critical and mission essential applications to prevent strategic surprise and deliver a decision advantage to warfighters, defense planners, and policy makers. We take pride that our users include warfighters and interagency partners that defend America's national security interests. We are committed to investing in you and your family through paid benefits, competitive total compensation, challenging opportunities and career growth opportunities. If you are ready to be challenged, advance your career, passionate about making a difference, and are excited to support our country's defense and intelligence missions, we are ready to talk to you!
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.
Requires 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with PhD.