Data Science Cyber Systems Engineer
TENICA Global Solutions
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Springfield, VA
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Not Applicable
Posted April 4, 2026
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Responsibilities
Responsibilities
- The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security.
- 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
Not Met Priorities
What still needs stronger evidence
Requirements
- Current U.S.
- Government Top Secret clearance with SCI eligibility.
- Favorably adjudicated Polygraph.
- 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
Preferred Skills
- Experience applying statistical analysis to large data sets
- 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
Education
- (Not required) – Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP)
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
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