Data Scientist, Level 2 (Intermediate)

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 arcfield.com for more details.

Responsibilities

Arcfield's Cyber programs are expanding and currently in need of Data Scientist, Level 2 (Intermediate) professionals to provide data management and analysis to assist in recommending changes to the Government that can improve operational effectiveness and support decision making.

Note: An offer for this position is contingent upon contract award.

Responsibilities include, but are not limited to the following:

• 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

Qualifications

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.

Desired:

• Exposure to cybersecurity applications or operations
• A STEM degree in data science, mathematics, statistics, business analytics, or equivalent quantitative field

EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.