Arcfield · 3 months ago
Data Scientist, Level 2 (Intermediate)
Arcfield is a company focused on innovations in digital transformation and space mission engineering, seeking a Data Scientist, Level 2 (Intermediate) to enhance their Cyber programs. The role involves data management and analysis to improve operational effectiveness and support decision-making through predictive analytics and integration of findings into cybersecurity processes.
ConsultingManagement Consulting
Responsibilities
Extract, transform, load, analyze and interpret relevant information assurance (IA) data for timely analytic use
Provide reports on any associated patterns, anomalies, and potential security concerns
Analysis of historical data to gain insights and understand patterns, anomalies, and potential security considerations, and present findings in a clear and concise manner
Conducting predictive analytics to prepare predictive models and algorithms to identify, characterize, and forecast future outcomes and use prescriptive analytics to recommend optimal actions
Integrating analytic findings and outcomes into other cybersecurity products and processes, including Continuous Monitoring, to enhance operational effectiveness, support decision-making, and strengthen the strategic intelligence posture
Conducting ongoing research on emerging data science methodologies and technologies to provide reports and recommendations for adopting emerging data science methodologies
Assisting in creating, editing, managing, and archiving information within data sources
Assisting in ensuring accuracy of datasets and records
Support relevant data management
Qualification
Required
Must possess and be able to maintain a TS/SCI clearance with Poly
BS 5-7 Years, MS 3-5, PhD 0-2
5 years' relevant experience in data science, mathematics, statistics, business analytics or equivalent quantitative field
Demonstrate ability to prepare and analyze data visualizations
Demonstrate ability to select appropriate analytical approaches towards automation
Demonstrate ability to review and refine requirements for data science cybersecurity approaches
Demonstrate strong understanding of Large Language Models (LLMs)
Demonstrate strong understanding of machine learning principles, techniques, and technologies
Demonstrate strong knowledge of data engineering
Demonstrate strong knowledge of data management
Familiar with Agile processes (Scrum, Jira, Confluence)
Strong understanding of common tools and technologies (AWS, Spark, Kafka, Tableau, Python, R, Splunk, etc.)
Preferred
Exposure to cybersecurity applications or operations
A STEM degree in data science, mathematics, statistics, business analytics, or equivalent quantitative field
Company
Arcfield
Arcfield provides innovative solutions in systems engineering and integration.
Funding
Current Stage
Late StageRecent News
2025-12-19
Washington Technology
2025-12-17
Providence Business News
2025-12-17
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