Data Scientist

at  Peraton

ABOUT PERATON

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

BASIC QUALIFICATIONS:

• BS 5-7 Years, MS 3-5, PhD 0-2 Bachelor’s Degree in STEM Field
• 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.
• Clearance: TS/SCI required

WHAT YOU’LL DO:

• Responsible for analysis of large datasets, in structured and unstructured formats. Apply industry-standard approaches to analyzing the data to discover patterns, embedded operating code, etc., within the datasets appropriate to the specific threat/countermeasure scope.
• Participate with the core team to provide brainstorming support during the early concept; and, later to more fully define the scope and functionality of any software component to the selected solution(s).
• Provide 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.