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Data Scientist - Subject Matter Expert Jobs

Posted 2 days ago

clearancejobsReston (VA)

SENIORITY

Lead

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About the role

Data Scientist - Subject Matter Expert (SME) This position is for upcoming work and is contingent upon task award/funding. This will be an onsite position at Noblis HQ in Reston, 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.
Key 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
Required Qualifications: 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 dataUS Citizen with an Active Top Secret / SCI security clearance
Desired Qualifications: Preferred experience with rapid capability development and acquisition, relevant military operations, or technology transition from R&D to fielding.

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