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Cyber Data Scientist

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Arcfield
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 137000 - 238000 USD Yearly USD 137000.00 238000.00 YEAR
Job Description & How to Apply Below

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.

Responsibilities

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 Cyber Data Science Engineer

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 10-12 years with BS/BA, or 8-10 years with MS/MA, or 5-7 years with PhD
  • 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., Sage Maker)
  • 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 applying AI/ML to security problems (anomaly detection, threat hunting)
  • Knowledge of adversarial machine learning techniques
  • Model development for security use cases (user behavior analytics, network traffic analysis)
  • Experience with security-focused data pipelines and feature engineering
  • Understanding of AI explainability and model interpretability in security contexts
  • 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 Service Now and Splunk
  • E…
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