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Data Scientist, Senior/Level 3

Arcfield

Salary not specified
Nov 19, 2025
Chantilly, VA, United States of America
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Arcfield's Cyber programs are expanding and currently in need of Data Scientist, Senior/Level 3 professionals providing data management and analysis to assist in recommending changes to the Government that can improve operational effectiveness and support decision making.

Requirements

  • 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

Responsibilities

  • Extract, transform, load, analyze, and interpret relevant information assurance (IA) data for timely analytic use
  • Provide reports on associated patterns, anomalies, and potential security concerns
  • Analyze historical data to gain insights, understand patterns, anomalies, and potential security considerations, and present findings clearly and concisely
  • Conduct predictive analytics to prepare models and algorithms for identifying, characterizing, and forecasting future outcomes
  • Perform prescriptive analytics to recommend optimal actions
  • Integrate analytic findings and outcomes into other cybersecurity products and processes, including Continuous Monitoring
  • Conduct ongoing research on emerging data science methodologies and technologies, providing reports and recommendations for adoption

Other

  • Must possess and maintain a TS/SCI clearance with Poly
  • 7 years of experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field
  • Familiar with Agile processes (Scrum, Jira, Confluence)
  • Strong working experience with numerous projects on the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g. TensorFlow and PyTorch), R (e.g. tidyverse, Rshiny), Splunk
  • Familiarity with Agile or equivalent project management process