Cyber Data Scientist
Overview Vencore is a proven provider of information solutions, engineering and analytics for the US Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems. Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do. Vencore is an AA/EEO Employer - Minorities/Women/Veterans/Disabled Responsibilities Join Vencore in support of a future contract to provide network security services to protect against the outside threat for an Intelligence Community customer. Security event correlation was yesterday. Cyber data analytics is today. As part of the cyber analytics team, you will help tackle the ETL of structured and unstructured event and threat data from multiple, disparate sources. Duties include:Responsible for working with CIRT to develop platforms and capabilities that support analytic requirements for detecting malicious cyber activity on the network, on virtualization platforms, and specific network devices, on endpoints, in databases, at the application tier, in cloud environments, and more. Determine how to best leverage existing data sets for the purposes of enhancing CIRT's cyber analytic capabilities. Create software capabilities to best leverage data sets to benefit CIRT analytic capabilities. These capabilities may include software that allows for visualization of large data sets, with the purpose of finding outliers and anomalies. These capabilities may also include creating regular expressions to normalize or filter incoming data streams. These capabilities may include working with the SIEM team to allow for ingestion of data sets.Work with management to interface with cyber data providers to provide requirements for log ingestion to systems and Enterprise data. The Senior Software Developer will work with CIRT analysts and SIEM engineers to determine which log types have the most value for CIRT analytics and detection. RequiredBS degree in computer engineering or computer science or related discipline.Minimum of 5 years of progressively responsible experience in IT software development.Demonstrated knowledge and 5-10 years' hands-on experience with Software Development Lifecycle methodologies, including tactical software development, Agile, Kanban, and related methodologiesDemonstrated knowledge minimum 5 years' hands-on experience with IT infrastructure, which includes the following disciplines: network, backup, platforms, middleware, application, monitoring, and security.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.Top Secret/SCI w/PolyDesiredMS degree in computer science or data science.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.