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Senior AI Engineer / Data Scientist

Job Description

Sumaria Systems is seeking a Senior AI Engineer / Data Scientist to provide advanced data science, artificial intelligence, and machine learning support to the National Air and Space Intelligence Center (NASIC) at Wright-Patterson AFB, OH. This is a full-time position supporting the ASTRA program.

Responsibilities

• Apply data science, artificial intelligence (AI), and machine learning (ML) techniques to complex intelligence and mission problems.
• Develop, evaluate, and implement AI/ML models and analytical approaches supporting NASIC mission requirements.
• Analyze large, complex, and diverse datasets to identify patterns, relationships, trends, and actionable insights.
• Assess Government mission requirements and recommend appropriate data science, AI/ML, and analytical approaches.
• Support development and evaluation of algorithms, models, prototypes, and analytical capabilities.
• Prepare, transform, integrate, and analyze structured and unstructured data from multiple sources.
• Evaluate model performance, accuracy, reliability, limitations, and operational applicability.
• Support integration of data science and AI/ML capabilities into existing and emerging mission workflows.
• Investigate emerging AI/ML technologies and assess their applicability to NASIC mission requirements.
• Collaborate with Government analysts, engineers, scientists, data architects, and mission stakeholders to transition analytical concepts into usable capabilities.
• Develop technical assessments, recommendations, and recurring status products supporting Government data science and analytics initiatives.
• Communicate analytical findings and technical recommendations to both technical and non-technical stakeholders.

Qualifications

Master's or bachelor's Degree required

Demonstrated professional experience in data science, artificial intelligence, machine learning, advanced analytics, or a related technical discipline.

Experience developing and evaluating AI/ML models, algorithms, or advanced analytical methods. Experience working with large and complex datasets and applying statistical, computational, or machine learning techniques to solve technical or mission problems.

Demonstrated proficiency with Python and commonly used data science and machine learning tools, libraries, or frameworks.

Experience supporting the development, testing, validation, or operational implementation of analytical models or AI/ML capabilities.

Experience supporting NASIC, the Intelligence Community, Department of the Air Force, DoD, or other national security missions is desired.

Experience with one or more of the following is desired: predictive analytics, natural language processing, computer vision, deep learning, generative AI, anomaly detection, pattern recognition, or intelligence data exploitation.

Experience working with cloud-based data or AI/ML environments, large-scale data architectures, or high-performance computing environments is desired.

Familiarity with AI/ML model governance, validation, explainability, responsible AI, and human-in-the-loop implementation is desired.

Must possess strong written and verbal communication skills and be able to communicate complex analytical concepts and findings to Government stakeholders and technical teams.

For more information on Sumaria Systems, please visit our website at www.sumariasystems.com

Sumaria is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor.

Sumaria Systems, LLC (Sumaria) is a market leader in Professional Services, Engineering, and Information Technology has been a trusted partner to U. S. Department of Defense communities for more than 30 years. Sumaria Systems only provides engineering services to the federal government, and does not provide professional engineering or surveying services to the public within the meaning of Ohio Revised Code Section 4733.16. With expertise to lead, insight to deliver and commitment to succeed; we staff each mission with a carefully selected team of seasoned professionals. Headquartered in Dayton, Ohio with operating locations in Alabama, Colorado, Georgia, Illinois, Ohio, Oklahoma and Virginia.