Data Scientist - Subject Matter Expert

Noblis•Fort Belvoir, VA

12h•Onsite

About The Position

This position is for upcoming work and is contingent upon task award/funding. This will be an onsite position at Fort Belvoir, VA. We are seeking a highly experienced Data Scientist – Subject Matter Expert (SME) to support a dynamic government contracting program focused on advanced sensing, autonomous systems, and artificial intelligence. Operating at the intersection of cross-domain intelligence, remote sensing, and AI/ML development, the ideal candidate will bring deep technical expertise and a proven track record of delivering high-impact analytical solutions in complex, mission-driven environments. This role demands a self-directed leader capable of guiding technical strategy, driving innovation, and delivering rigorous analytical outputs to senior government stakeholders.

Requirements

Master's degree or PhD in Data Science, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field
10+ years of experience in data science or machine learning, with demonstrated expertise supporting U.S. government or defense/intelligence community programs
Proven hands-on experience with AI/ML model validation, testing, and adversarial robustness methodologies in operational or near-operational environments
Strong proficiency in Python, R, or equivalent languages, with experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Demonstrated experience with remote sensing data types (e.g., EO/IR, SAR, multi/hyperspectral) and associated exploitation techniques
Practical knowledge of uncertainty quantification methods and statistical analysis applied to sensor or intelligence data
US Citizen with an Active Top Secret / SCI security clearance

Nice To Haves

Preferred experience with rapid capability development and acquisition, relevant military operations, or technology transition from R&D to fielding.

Responsibilities

Design, develop, and execute AI/ML validation and testing frameworks to assess model performance, robustness, and operational reliability across cross-domain remote sensing applications
Lead data curation and feature engineering pipelines, transforming raw multi-source sensor data into high-quality, mission-ready datasets optimized for machine learning workflows
Conduct AI/ML adversarial attack research and optimization, identifying system vulnerabilities and developing countermeasures to harden models against adversarial exploitation
Apply advanced AI/ML techniques to support enhanced characterization of sensor systems, improving detection, classification, and identification capabilities across operational domains
Develop and contribute to analysis tools and software supporting intelligence workflows, sensor data exploitation, and decision-support applications
Perform rigorous uncertainty analysis on AI/ML model outputs, quantifying confidence levels and communicating risk to technical and non-technical government stakeholders
Provide SME-level technical guidance on autonomous systems integration, advising on AI architecture, algorithm selection, and system-level performance evaluation