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Data Scientist - Subject Matter Expert

Noblis Reston, VA

Reston, VA

Today

$177k - $276k/yr Full time Adversarial Ml Ai Ml Artificial Intelligence

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Job Description

Noblis is seeking a Data Scientist to serve as a subject matter expert in support of a government contracting program focused on advanced sensing, autonomous systems, and AI/ML. This onsite role in Reston, VA 20191 centers on validating machine learning performance, hardening models against adversarial threats, and advising on autonomous systems integration.

Key Responsibilities

Design, develop, and execute AI/ML validation and testing frameworks to evaluate model performance, robustness, and operational reliability across cross-domain remote sensing applications.
Lead data curation and feature engineering pipelines, converting raw multi-source sensor data into high-quality, mission-ready datasets aligned to machine learning workflows.
Conduct adversarial attack research and optimization to identify system vulnerabilities and support development of countermeasures that strengthen models against adversarial exploitation.
Use 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 that support intelligence workflows, sensor data exploitation, and decision-support applications.
Perform uncertainty analysis on AI/ML model outputs, quantifying confidence levels and communicating risk to both technical and non-technical government stakeholders.
Provide SME-level guidance on autonomous systems integration, including advice 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, including demonstrated expertise supporting U.S. government or defense/intelligence community programs.
Hands-on experience with AI/ML validation, testing, and adversarial robustness methodologies in operational or near-operational environments.
Strong proficiency in Python, R, or equivalent languages, with experience using TensorFlow, PyTorch, or scikit-learn.
Demonstrated experience with remote sensing data types such as EO/IR, SAR, and multi/hyperspectral, along with 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.

Technologies

Python
R
TensorFlow
PyTorch
scikit-learn

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Award programs recognizing employees for exceptional performance and superior demonstration of service standards
Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in benefit programs

Desired Qualifications

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

Role Details

Location: Reston, VA 20191 (onsite)
Experience: 10+ years
Salary Range: USD 176,800 - 276,250 per year (USD $176,800.00 - USD $276,250.00 /Yr.)
Employment Type: Full-time (with benefit eligibility for certain part-time schedules working at least 20 hours per week)

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3mo ago

Subject Matter Expert (SME) Data Engineer

Synertex LLC Bethesda, MD

Bethesda, MD

3mo ago Closed

Full time Cloud Architecture Cloud Operations Data Architecture

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Subject Matter Expert Data Engineer based in Bethesda, MD on site, focusing on designing and implementing enterprise data platforms to support analytics and AI driven mission requirements for government and intelligence programs.

Responsibilities

Lead the design and deployment of data warehouses, data lakes, and end-to-end enterprise data pipelines.
Build cloud-based data architectures and enable data integration across disparate systems.
Produce preprocessed datasets to enable AI and machine learning initiatives.
Ensure data platforms satisfy security standards and operational performance requirements.

Requirements

TS/SCI clearance with polygraph required, including additional security screenings.
Minimum experience: 2 years.
Education requirement: PhD.
Entry Level: HS/GED plus 6 years of experience.
Entry Level: Associate's degree plus 4 years of experience.
Entry Level: Bachelor's degree plus 2 years of experience.
Entry Level: Master's degree, with experience potentially substituting as appropriate.
Journeyman Level: HS/GED plus 8 years of experience.
Journeyman Level: Associate's degree plus 6 years of experience.
Journeyman Level: Bachelor's degree plus 4 years of experience.
Journeyman Level: Master's degree plus 2 years of experience.
Senior Level: HS/GED plus 10 years of experience.
Senior Level: Associate's degree plus 8 years of experience.
Senior Level: Bachelor's degree plus 6 years of experience.
Senior Level: Master's degree plus 4 years of experience.
Senior Level: PhD plus 2 years of experience.
Expert / Master Level: HS/GED plus 12 years of experience.
Expert / Master Level: Associate's degree plus 10 years of experience.
Expert / Master Level: Bachelor's degree plus 8 years of experience.
Expert / Master Level: Master's degree plus 6 years of experience.
Expert / Master Level: PhD plus 4 years of experience.

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