Arcfield · 2 months ago
Cyber SE, IV (Data Science Support)
Chantilly, VA
Full-time
Onsite
Senior Level
5+ years expArcfield is expanding its Cyber initiative and seeking a Cyber Systems Engineer, IV in support of Data Science to help apply data science techniques to cybersecurity solutions. This pivotal role offers the opportunity to help shape Arcfield's cyber defense strategies and contribute to our expanding portfolio of cyber programs.
ConsultingManagement Consulting
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Extract, transform, load, analyze, and interpret relevant information assurance (IA) data
Provide reports on patterns, anomalies, and potential security concerns
Support machine learning and statistical approaches for cybersecurity
Create data visualizations, dashboards, and presentations to communicate cybersecurity recommendations
Conduct and support data engineering and data management tasks
Select and implement appropriate analytical approaches for automation
Review and define requirements for data science cybersecurity approaches
Utilize tools such as AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), and Splunk
Provide Agile process support with projects management (Scrum, Jira, Confluence)
Analyze historical data to gain insights and understand patterns in cybersecurity contexts
Conduct predictive analytics to forecast future outcomes and recommend optimal actions
Integrate analytic findings into other cybersecurity products and processes, including Continuous Monitoring
Research emerging data science methodologies and technologies for cybersecurity applications
Assist in creating, editing, and managing data sources and ensuring data accuracy
Archive information within data sources
Establish frameworks for measuring and quantifying cyber risk
Maintain security compliance with standards, policies, and procedures
Support incident response analyses
Support cybersecurity training program
Support the integration of DoD IA architectures and systems
Work with large language models (LLMs) and apply machine learning principles, techniques, and technologies
Collaborate with stakeholders to receive feedback and guide future work
Present information and recommendations to decision-makers and warfighters
Qualification
Required
Must possess and be able to maintain a TS/SCI clearance with Poly
BS 8-10, MS 6-8, PhD 3-5
5 years' relevant experience in data science, mathematics, statistics, business analytics or equivalent quantitative field
Working knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Demonstrated ability to review and refine requirements for data science cybersecurity approaches
Understanding of machine learning principles, techniques, and technologies
Knowledge of data engineering
Demonstrated knowledge of data management
Familiar with Agile processes (Scrum, Jira, Confluence)
Working knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Experience with tools such as AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk, or equivalent
Familiar with statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management
Ability to interact regularly with customers and present information to decision-makers
Preferred
Bachelor's degree or equivalent in data science, mathematics, statistics, business analytics, or equivalent quantitative field
A STEM degree in data science, mathematics, statistics, business analytics, or equivalent quantitative field
Exposure to cybersecurity applications and/or operations
Familiarity with Agile project management processes (i.e., Scrum, Jira, Confluence) or equivalent
Experience in automating manual processes, predicting future trends, and detecting anomalies
Knowledge of information assurance (IA) and cybersecurity principles
Experience with DoD IA systems
Familiarity with continuous monitoring and ongoing authorization programs
Experience in conducting vulnerability analyses and risk assessments
Knowledge of intrusion detection methodologies and equipment
Experience in incident response analysis
Ability to develop and conduct cybersecurity training programs
Company
Arcfield
Arcfield provides innovative solutions in systems engineering and integration.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Kevin Kelly
Chairman and CEO
Ted Fidder
Chief Technology Officer
Recent News
2025-12-19
Washington Technology
2025-12-17
Company data provided by crunchbase