Cyber Data Scientist

Arcfield
Chantilly, VA Full Time
POSTED ON 9/8/2022 CLOSED ON 12/12/2022

What are the responsibilities and job description for the Cyber Data Scientist position at Arcfield?

Arcfield Overview

Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nation’s most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details.

Responsibilities

 

The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contract’s 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

Qualifications

  • Requires 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with Ph.D.
  • 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
  • Ability to organize and prioritize numerous customer requests in a fast-paced 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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