Exploitation Scientist / Data Scientist at Riverside Research

Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Riverside Research is seeking an experienced Exploitation Scientist / Data Scientist to lead the development, integration, and delivery of advanced GEOINT exploitation capabilities in Falls Church VA. This role combines deep expertise in sensor phenomenology, data science, analytical modeling, and exploitation tradecraft. The Senior Exploitation Scientist will guide multi-sensor workflows, design new analytic methods, mentor junior staff, and collaborate directly with government partners to enhance intelligence production for DoD and Intelligence Community missions. • Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections. • Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion. • Apply data science methodologies—including statistical modeling, machine learning, and automation—to improve exploitation accuracy and efficiency. • Perform deep-dive image science analyses, sensor performance evaluations, and phenomenology-driven characterization. • Design and refine data workflows, ensuring reproducible processing, metadata consistency, and high-quality data governance. • Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners. • Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers. • Lead the development of SOPs, analytic standards, and documentation for multi-mission exploitation operations. • Provide direct mentorship to analysts, data scientists, and junior exploitation personnel. • Coordinate with collection managers, system developers, and intelligence stakeholders to optimize tasking strategies and analytical impact. • Ensure timely delivery of mission-critical GEOINT products supporting operational and strategic decision-making. • Perform other duties as assigned. Required Qualifications • Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience. • 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science. • Strong proficiency in Python, MATLAB, or similar analytical programming languages. • Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows. • Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets. • Demonstrated ability to lead technical teams and guide analytic development. • Strong understanding of DoD/IC data standards, mission priorities, and production workflows. • Active TS or higher security clearance. Desired Qualifications • Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling. • Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures. • Experience supporting R&D, prototype evaluation, or system integration efforts. • GEOINT-related certifications or recognized technical publications. • Excellent communication skills and the ability to engage with senior customers. This represents the typical compensation range for this position based on experience, location and other factors. Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

Requirements

Must-haves

All Riverside Research opportunities require U.S. Citizenship.
Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections.
Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion.
Apply data science methodologies—including statistical modeling, machine learning, and automation—to improve exploitation accuracy and efficiency.
Perform deep-dive image science analyses, sensor performance evaluations, and phenomenology-driven characterization.
Design and refine data workflows, ensuring reproducible processing, metadata consistency, and high-quality data governance.
Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners.
Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers.
Lead the development of SOPs, analytic standards, and documentation for multi-mission exploitation operations.
Provide direct mentorship to analysts, data scientists, and junior exploitation personnel.
Coordinate with collection managers, system developers, and intelligence stakeholders to optimize tasking strategies and analytical impact.
Ensure timely delivery of mission-critical GEOINT products supporting operational and strategic decision-making.
Perform other duties as assigned.
Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.
7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
Strong proficiency in Python, MATLAB, or similar analytical programming languages.
Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.

Nice-to-haves

Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.
Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.
Experience supporting R&D, prototype evaluation, or system integration efforts.
GEOINT-related certifications or recognized technical publications.
Excellent communication skills and the ability to engage with senior customers.
This represents the typical compensation range for this position based on experience, location and other factors.

Application prep

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Keywords to mirror

machine learningmlaipython

Platform: icims
Effort: medium