Imagery Scientist (EO)

The Imagery Scientist is the subject matter expert on electro-optical imagery. You'll provide technical direction and conduct the work necessary to acquire and prepare EO imagery of the quality, standards, and requirements the Government specifies - with solutions informed by the specific phenomenology limitations and advantages of each sensor and platform. You'll integrate emerging EO sensors into Maven pipelines, build tiling and conversion pipelines, generate pre-labels, and curate imagery to government-directed priorities. Your work feeds directly into Maven's model development pipeline., The Imagery Scientist is the subject matter expert on their respective imagery modality (e.g., Electro-Optical). They shall provide technical direction and conduct the work necessary to acquire and prepare imagery of the necessary quality, standards, and requirements provided by the Government. Developed solutions should be informed by specific phenomenology limitations and advantages of the sensors and platforms in mind., * *Integrate emerging EO sensors into Maven data pipelines; assess metadata, format, and schema differences and recommend ETL adaptations

• *Execute daily EO imagery curation: assess image quality using NIIRS and information-theoretic metrics, prioritize acquisitions per government direction, convert files to required formats (specified imagery formats for unclassified and classified deliverables)
• *Tile full-size imagery into precise pixel dimensions or geospatial boundaries, accounting for orthorectification to ensure spatial accuracy at tile edges
• *Generate pre-labels from intelligence reporting, machine-derived observations, and human observations - conforming to defined ontology standards to tip and cue human labelers
• *Collaborate with the SAR Imagery Scientist to provide coincident EO imagery aligned with SAR collection areas and temporal windows
• *Oversee weekly processed imagery deliveries (high-volume curated imagery deliverables on a regular delivery cadence); execute ad-hoc quick-turn deliveries as needed, + Integrate emerging EO sensors and platforms into Maven data pipelines; assess and adapt ETL processes for metadata, format, and schema differences

• Develop and implement mathematical conversion models to transform data labels across imagery types (PNG, NITF) and between orthorectified and non-orthorectified imagery
• Execute tiling and preprocessing of full-size raw imagery to specified formats and dimensions while maintaining geospatial accuracy and metadata integrity
• Analyze and assess image quality and sensor metadata; curate acquisitions in alignment with government-directed priorities using NIIRS and information-theoretic metrics
• Generate pre-labels from intelligence reporting and machine- and human-derived observations conforming to defined ontology standards
• Identify and implement curation methods - including NLP-based intelligence extraction and automated machine techniques - to maximize high-value imagery yield
• Monitor and prioritize data holdings to support data diversity needs (geographic regions, temporal windows, metadata and scene characteristics)
• Develop, test, and evaluate new EO algorithms and methodologies using advanced processing tools and cloud-based solutions, + You think in phenomenology - collection geometry, sensor characteristics, and scene conditions are second nature, not references you look up
• You can move from scientific analysis to code: writing Python to automate tiling, validate metadata, and build preprocessing workflows
• You're rigorous about data integrity - you understand that a tile with bad geospatial bounds corrupts a label, and you build pipelines that prevent it
• You adapt quickly when a new sensor arrives with incomplete documentation - you assess, hypothesize, test, and integrate
• You communicate your science clearly - whether briefing a program manager or writing documentation another analyst can actually use

Do you have experience in Satellite data analysis?, Do you have a Master's degree?, * *Active TS/SCI clearance

• *Minimum 18 experience points required (see experience point calculation below)
• *4+ years as an EO expert with deep understanding of collection, phenomenology, image formation process, and exploitation products
• *Experience exploiting the electromagnetic spectrum (electro-optical) to determine the occurrence and location of objects of interest
• *Experience developing, testing, and evaluating algorithms and processes using EO imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar advanced processing tools
• *Experience communicating EO capabilities, methodologies, and products to both technical and non-technical audiences
• *Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods; experience with NIIRS and information-theoretic image quality metrics

PREFERRED QUALIFICATIONS *

• Experience applying computer vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems, This is a Expert-level (Level 5) position requiring a minimum of 18 experience points. Points are calculated as follows:

• Education: Associate's = 2 pts · Bachelor's = 3 pts · Master's = +2 pts · PhD = +3 pts
• Professional / Military Experience: 1 pt per year of relevant experience
• Certifications: 0.5 pts each
• Specialized Training: 0.25 pts per relevant course
• Professional Impact (publications, presentations, patents): up to 3 pts total, NLP-based Curation

Computer Vision [Preferred]

ML Techniques [Preferred], You are an experienced EO imagery scientist energized by working at the boundary of remote sensing and machine learning. You want your expertise to directly shape AI/ML training data quality on a consequential national security program - and you're comfortable owning that work technically from day one., This may not be the right fit if you prefer purely analytical or finished intelligence work without hands-on pipeline and preprocessing responsibilities, or if EO sensor phenomenology is not your primary area of expertise.

Pulled from the full job description

• Military leave
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance
• Paid military leave, Health Insurance (Geo Owl pays 80%+ of the premium).

401k matching.

Dental, Vision, and other supplemental insurance plans available.

Company-paid short-term and long-term disability and life insurance.

Peer-to-Peer spot bonuses.

120 hours of PTO per year plus federal holidays.

Fully Paid Military Leave: You make your full Geo Owl salary while you are on military duty

The EO data you curate, tile, and pre-label becomes the training corpus for NGA Maven's AI/ML models. The precision of your science determines the quality of model outputs that support real-world intelligence operations., Our mission is to empower EVERYONE with geospatial technologies. Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge solutions to the Department of Defense, intelligence agencies, and enterprises around the globe. Our comprehensive products and services include advanced geospatial analysis, imagery intelligence, remote sensing analysis, data science, and space-based custom intelligence solutions. At Geo Owl, we are dedicated to leveraging the latest analytic principles and technology to support and enhance the missions of our clients. Our core values-innovation, integrity, and excellence-drive everything we do. We are committed to pushing the boundaries of geospatial intelligence to ensure our clients receive the most accurate, timely, and actionable intelligence possible. Integrity is at the heart of our operations; we uphold the highest standards of ethics and accountability in our work. Striving for excellence is not just a goal but a standard; we consistently aim to exceed expectations in every project. Geo Owl's culture is built on collaboration, continuous learning, and respect. We cultivate an environment where team members can grow both personally and professionally. Our team is composed of passionate, dedicated experts who are always ready to support each other. We value work-life balance, offering flexible working arrangements and a supportive workplace where everyone feels valued. At Geo Owl, we invest in our employees' growth and development. We provide ongoing training, career advancement opportunities, and a platform to work on impactful projects that make a real difference. Our team enjoys a strong sense of camaraderie and purpose, knowing that their work contributes to national security and global stability. If you are looking for a dynamic, rewarding career in geospatial intelligence, Geo Owl is the place for you. Join us and be part of a team that is shaping the future of geospatial intelligence.