Cyber Data Scientist IV with Security Clearance

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Job description

Overview Arcfield was purpose-built to protect the nation and its allies through innovations in digital transformation, space mission engineering and launch assurance, miniaturized sensors and satellites, advanced modeling and simulation, cybersecurity, and conventional and hypersonic missile support. Headquartered in Chantilly, VA with 16 global offices, Arcfield employs more than 1,500 engineers, analysts, IT specialists, and other professionals with more than 60 years of collective proven experience supporting missions in cyber and space defense, space exploration, hypersonic and nuclear deterrence and warfighter readiness. Visit for more details. Responsibilities Program Description: The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts 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, auditing, authorization, and configuration management tools
Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau)
Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions
Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts
Qualifications Required: Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with Ph.D.
Must possess and be able to maintain a TS/SCI with Poly
Able to support customer's core hours (; Mon - Fri)
Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start
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: Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) 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 Amazon Elastic MapReduce (EMR) and SageMaker
Experience with Machine Learning or Artificial Intelligence
EEO Statement EEO Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

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