Data Scientist

About the role

The Data Scientist will support a critical government client in Arlington, VA, focusing on advancing data strategy, governance, and shared situational awareness across Department of War (DoW), Army, and Air Force operating environments.

Responsibilities

• Guide the design and interface of modern information systems, manipulating and mapping data streams to improve interoperability and usability across multi-domain platforms.
• Author technical whitepapers, develop DoW-compliant policy, and generate architecture artifacts to guide senior leadership and action officers through complex modernization initiatives.
• Define enterprise data architecture reference models, integration patterns, data standards, and DoDAF products.
• Review and adjudicate enterprise data models, schemas, data flows, and modernization roadmaps.
• Establish enterprise performance metrics, cataloging/taxonomy standards, and data lineage processes.
• Lead data governance boards to drive continuous improvement.
• Partner with system, application, cloud, and security teams to validate pipelines, ingestion, and interfaces.
• Identify and map data inputs leveraging existing and modern sources.
• Provide strategic IT and data guidance to senior government leaders and action officers.
• Research and draft technical policy, whitepapers, and executive briefings.

Requirements

• Bachelor's degree or higher, preferred.
• 5+ years progressive experience in data management, data analytics, data science, or enterprise data architecture.
• Math and computer science proficiency.
• Proven experience working within the Department of War, Army, Air Force, or other joint-agency environments.
• Must possess and maintain an active Secret clearance.
• Experience working with enterprise data platforms such as Advana, Vantage, Envision, or Maven Smart System.
• Proficiency in structured problem-solving methodologies.

Qualifications

• Outstanding written and verbal communication skills, with a proven ability to translate complex data concepts for non-technical stakeholders.
• Strong leadership capability to guide cross-functional teams and manage projects under minimal supervision.
• Exceptional analytical, organizational, and client-relationship management skills.

Skills

• Technical expertise in data management, data analytics, data science, or enterprise data architecture.
• Knowledge of enterprise data platforms such as Advana, Vantage, Envision, or Maven Smart System.
• Structured problem-solving methodologies.
• Effective communication and presentation skills.
• Leadership and project management skills.

Benefits

• Medical
• Dental
• Vision
• 401K
• Short Term Disability
• Long Term Disability
• Life Insurance
• PTO
• Paid Holidays