Data Science Cyber Systems Engineer

TENICA and Associates LLC; Springfield (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A Cyber Security Firm is seeking a motivated Cyber Data Science Engineer to support analysis in Cyber Security. The role involves analyzing data sets, transforming them into usable formats, and presenting metrics for compliance. Candidates should have a U.S. Government Top Secret clearance, relevant educational credentials in STEM, and skills in data visualization and automation tools. This position requires excellent communication and analytical skills, suitable for those looking to make an impact in Cyber Security.

Qualifications

• Current U.S. Government Top Secret clearance with SCI eligibility.
• Favorably adjudicated Polygraph.
• DoD 8570 certification in IAT or IAM.
• Knowledge of RMF policies.
• Ability to organize and prioritize numerous customer requests.

Responsibilities

• Support DAO-R and ConMon Validators with compliance decisions.
• Transform data into usable sets for analysis tools.
• Provide analysis and graphical presentations for compliance reporting.
• Collaborate with the Heat Map team for automation options.

Skills

Data visualization tools

Analytic skills

Risk management

Communication skills

Office Automation Skills

Team collaboration

Education

Bachelor of Science in STEM or advanced IA certification

Tools

Tableau

Python

ServiceNow

Splunk

Amazon Web Services (AWS)

Apache Hadoop

Job description

We believe that every person, given the opportunity and the tools, is capable of achieving great things. Our team members focus on our customers and assisting them achieve their mission and goals. Our leadership nurtures our team’s potential by treating each employee with honesty, integrity, respect, dignity, compassion and fairness.

And we’re looking for motivated people who share those values!

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
• 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