Data Science Cyber Systems Engineer
Tenica and Associates
Springfield, VA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Artificial Intelligence
Amazon Web Services
Data Analysis
Systems Engineering
Big Data
Cyber Security
Data Transformation
Data Visualization
Relational Databases
Programming Tools
Apache Hadoop
+15 more
Hadoop Distributed File System
Identity and Access Management
JSON
Python (Programming Language)
Machine Learning
Microsoft Office
Microsoft Project
Microsoft Visio
Office Automation
Tableau (Software)
Infrastructure Automation Frameworks
Splunk
Amazon Elastic Mapreduce (EMR)
Servicenow
Vulnerability Analysis
Job 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
Requirements
- 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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