Why This Role Stands Out
Leverage your cybersecurity expertise and data science skills in this hybrid role, where you'll directly impact critical systems by analyzing complex data and providing actionable insights for security compliance. This position offers significant growth potential for driven professionals with strong analytical abilities and a Top Secret clearance to contribute to cutting-edge cyber defense strategies.
Quick Overview
Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Springfield, VA, United States
Posted
2 weeks ago
AWSMachine LearningSplunkTableauApacheHadoopMicrosoft ExcelPython
Job Description
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:
- Support Designated Authorizing Official Representative (DAO-R) and ConMon Validators in compliance decisions by analyzing 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, etc.)
- 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 Qualifications: 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
- Knowledge of and experience with RMF policies
- Excellent communications skills – both verbal and non-verbal
- Office Automation Skills – MS Office, MS Project, Visio
- Self-starter requiring limited direction and supervision
- Strong analytic and risk management skills
- 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
- 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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