Data Scientist - Expert - #914
Allen Integrated Solutions· enterprise· Defense & Intelligence· Aug 31, 2026 · 2mo ago
Dayton, Ohio, United States
In office
Full-time
Principal
$147K–$221K est.
18+ years exp
Job description
Data Scientist - Expert - #914
Clearance Required: TS/SCI
Dayton, Ohio - 100% onsite
Position Overview
The Expert Data Scientist serves as the principal technical authority and strategic advisor for data science, artificial intelligence, and advanced analytics across the contract in direct support of the National Air and Space Intelligence Center (NASIC). Operating on-site within the NASIC Future Capabilities & Assessment Directorate (NASIC/A9), specifically supporting the Technology, Data, and Assessment Division (A9A), this role leads the design and implementation of next-generation analytical capabilities.
The Expert Data Scientist pioneers enterprise-wide Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflow strategies against highly complex, large-scale datasets. By bridging the gap between cutting-edge computational technology and intelligence operations, this position drives data-driven decisions, guides future enterprise architecture investments, and accelerates critical analytical priorities across the Center, Department of Defense (DoD), and Intelligence Community (IC).
Core Responsibilities
Strategic AI/ML & Analytical Architecture: Designs, shapes, and leads the implementation of enterprise-wide analytic strategies and next-generation IA/AI/ML techniques. Evaluates emerging commercial cloud capabilities, pilots advanced computational models, and directs technology scouting initiatives to modernize NASIC’s digital landscape.
Workflow Optimization & Insight Generation: Translates highly complex, multi-dimensional data science capabilities into clear, actionable insights and executive-ready dashboards for non-technical stakeholders, Group Commanders, and senior leaders.
Cross-Enterprise Data Strategy & Governance: Formulates robust data strategies, metadata governance frameworks, and data standards that directly align with center-wide IT roadmaps, Zero Trust Architecture (ZTA) principles, and national-level AI policies.
Reporting & Progress Documentation: Authors, reviews, and delivers the formal monthly Data Science & Analytics Progress Report to NASIC/A9 leadership. This deliverable captures rigorous metrics on model implementation and presents validated, decision-ready workflow recommendations.
Strategic Communications & Policy Creation: Spearheads high-level technical policy creation and runs strategic communication initiatives to ensure perfect alignment between technical software factories, IT infrastructure stakeholders, and intelligence production groups.
Enterprise Infrastructure Collaboration: Collaborates with the Chief Data Officer (CDO) and Chief Artificial Intelligence Officer (CAIO) to align advanced analytics workflows with cloud storage migrations, secure cross-domain data flows, and enterprise network design configurations.
Qualifications & Experience
Required:
Education & Experience: Bachelor’s degree plus 18 years of experience, or a Master’s degree plus 15 years of experience in Data Science, Computer Science, Statistics, Advanced Mathematics, Data Engineering, or a closely related computational field.
Advanced AI/ML Leadership: Proven track record of leading multi-disciplinary team-tasks in the development, testing, and deployment of complex IA/AI/ML algorithms, Large Language Models (LLMs), or advanced signal processing architectures independent of supervisory guidance.
DoD/IC Standards Compliance: Direct experience developing analytical data frameworks and engineering artifacts that strictly conform to DoD, IC, and Air Force Enterprise Architecture standards.
Security Clearance: Must possess an active, verified TS/SCI security clearance to provide 100% on-site support inside secure NASIC facilities at Wright-Patterson AFB.
Ecosystem Awareness: Direct technical familiarity with data structures inside Vendor or related vendor ecosystems, or a deep understanding of the NSG Tasking, Processing, Exploitation, and Dissemination (TPED) mission framework.
Cloud Architecture Proficiency: Demonstrated experience working inside the NASIC Unified Cloud (NUC), DAF Cloudworks, or modern commercial cloud platforms utilizing Open Container Initiative standards.
Desired:
NASIC Experience: NASIC experience highly desired, not mandatory.
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Keywords to mirror
machine learningaiml
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