EO Data Scientist Specialist/Imagery Scientist

Barone Consulting LLC; Falls Church (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Barone Consulting LLC seeks an experienced Electro-Optical (EO) Data Scientist Specialist / Imagery Scientist to join a high-performing team supporting advanced AI/ML initiatives for national security missions.

The role focuses on evaluating AI models against government datasets, testing autonomous algorithms, and curating EO imagery datasets for model development and evaluation. Clearances and geospatial expertise are required.

Qualifications

• Active TS/SCI clearance with CI Polygraph eligibility; CI poly sponsorship available.

Responsibilities

• Leverage multi-INT data focusing on EO imagery for AI/ML model development and evaluation.
• Curate imagery aligned with Government priorities by selecting datasets with required objects of interest and coverage.
• Evaluate EO sensors and recommend data curation strategies to maximize dataset quality, diversity and value.
• Identify data gaps and suggest additional collections or sources to develop representative datasets for robust ML model evaluation.
• Collaborate with cross-functional teams to ensure curated imagery meets quality standards for analytics and mission execution.

Skills

EO imagery analysis

Geospatial analysis

Multi-INT analysis

Data curation

Programming / scripting

Job description

We are seeking an experienced Electro-Optical (EO) Data ScientistSpecialist / Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad range of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As an EO Exploitation Specialist / Imagery Scientist, you will leverage your expertise in Electro-Optical imagery, geospatial analysis, and multi-INT exploitation to support the curation, analysis, and preparation of imagery datasets used for machine learning model development, testing, and evaluation. You will work alongside engineers, data scientists, and mission analysts to ensure imagery products are representative, mission-relevant, and optimized for AI/ML applications.

Required Qualifications

• Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
• Experience exploiting Electro-Optical (EO) imagery and EO analytical products in support of intelligence or geospatial missions.
• Experience conducting multi-INT analysis and integrating data from multiple intelligence disciplines to support mission objectives.
• Proficiency working with structured, semi-structured, and unstructured datasets using programming, scripting, and visualization tools.
• Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to solve complex intelligence challenges.

Preferred Qualifications

• Experience developing or applying machine learning (ML) and computer vision (CV) techniques to overhead imagery, motion imagery, or other geospatial datasets.
• Familiarity with AI/ML workflows supporting imagery exploitation, object detection, and model evaluation.

Key Responsibilities

• Leverage multi-INT data, with an emphasis on Electro-Optical (EO) imagery, to identify, curate, and prepare imagery collected from emerging sensor platforms for AI/ML model development, testing, evaluation, and accreditation.
• Curate imagery that aligns with Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and other operationally relevant attributes.
• Evaluate the capabilities and limitations of emerging EO sensors and recommend data curation strategies that maximize dataset quality, diversity, and operational value.
• Identify data gaps and recommend additional collections or complementary data sources to develop representative datasets that support robust machine learning model evaluation.
• Collaborate with cross-functional teams to ensure curated imagery meets quality standards and is optimized for advanced analytics, AI/ML development, and mission execution.