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Cyber Data Science Engineer

Rdrinc
Full-time
On-site
Chantilly, Virginia, United States
Description

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

Required:



  • Current U.S. Government Top Secret clearance with SCI eligibility.

  • 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