Cyber Data Science Engineer

Description This position is contingent upon award. Requires an active TS/SCI with CI Poly clearance prior to consideration. Program Description: The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer.

The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support. Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security.

Daily Tasks include, but are not limited to: Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets Develop data-driven solutions Analyze data sets found in the customer's vulnerability scanning, authorization, and configuration management tools Import and transform data into usable sets for analysis tools used by the customer (e.

g., Tableau) Provide analysis and graphical presentations of collected metrics for IA compliance status reporting Support legacy visualization and situational awareness tools based on Microsoft Excel Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat Map Requirements Current U.

S. Government Top Secret clearance with SCI eligibility with favorably adjudicated Polygraph. Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP) DoD 8570 certification in IAT or IAM Deep understanding of statistics and analysis Skilled in artificial intelligence and machine learning (e.

g., Sage. Maker) Ability to code in multiple languages, including Python Knowledge of databases, data structures, and data architectures Excellent communications skills – both verbal and non-verbal Office Automation Skills – MS Office, MS Project, Visio Self-starter requiring limited direction and supervision Strong attention to detail Ability to work in a team environment Experience with data visualization tools (e.

g. Tableau, Infogram, Chartbloks) Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.) Experience applying statistical analysis to large data sets Desired: Experience briefing senior customer personnel Experience with Tableau administration Ability to organize and prioritize numerous customer requests in a fast pace deadline driven environment Familiarity with Amazon Web Services (AWS) Familiarity with customer's IA processes Experience with Service.

Now and Splunk Experience supporting IC or DoD in the Cyber Security Domain Familiarity with the RMF process Experience with Relational Database Management System (RDMS) Experience with Apache Hadoop and the Hadoop Distributed File System Experience with Amazon Elastic Map. Reduce (EMR) and Sage. Maker Experience with Machine Learning or Artificial Intelligence