Cyber Data Science Engineer
Job Description
Job Description
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
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., SageMaker)
- 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 ServiceNow 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 MapReduce (EMR) and SageMaker
- Experience with Machine Learning or Artificial Intelligence
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