Geo Owl · SDVOSB · Est. 2013
Imagery Scientist (SAR)NGA MAVEN PROGRAM · SYNTHETIC APERTURE RADAR · GEOINT · EXPERT · KEY POSITION
Synthetic aperture radar sees through cloud cover, darkness, and camouflage — and making that capability useful for AI/ML model development takes a scientist who understands the physics, the phenomenology, and the pipeline. As the SAR Imagery Scientist on NGA Maven, you are the subject matter expert who ensures the right SAR data is identified, acquired, pre-processed, and delivered to support machine learning that matters to national security.
The Imagery Scientist is the subject matter expert on synthetic aperture radar. You'll provide technical direction and conduct the work necessary to acquire and prepare SAR 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 SAR sensors into Maven pipelines, develop pre-processing and tiling workflows, generate pre-labels, and provide geospatial and imagery expertise to improve data curation in support of ML algorithm training and evaluation.
Source-Derived Role Summary
The Imagery Scientist is the subject matter expert on their respective imagery modality (e.g., Synthetic Aperture Radar). 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.
- ✓Assess emerging SAR sensors: evaluate differences in collection characteristics, metadata, data formats, and phenomenology compared to currently utilized platforms; recommend ETL adaptations for schema and API changes
- ✓Execute daily SAR imagery curation: assess image quality using RNIIRS and SAR-specific metrics, prioritize acquisitions per government direction, convert files to required formats (specified SAR imagery formats)
- ✓Tile full-size SAR imagery to specified pixel dimensions or geospatial bounds; develop and implement mathematical conversion models to transform labels across imagery types (PNG to standard SAR imagery formats) and between orthorectified and non-orthorectified imagery
- ✓Generate pre-labels from intelligence reporting, machine-derived observations, and human observations — conforming to defined ontology standards to tip and cue human labelers to objects of interest
- ✓Identify and provide EO imagery coincident with SAR deliveries within specified geographic and temporal ranges; explore options for coincident collects across platforms
- ✓Oversee weekly deliveries of processed imagery (high-volume curated imagery deliverables on a regular delivery cadence); execute ad-hoc quick-turn deliveries as operational needs arise
Mission Impact
The SAR data you curate, tile, and pre-label becomes training material for NGA Maven's AI/ML models. The precision of your science — how well the imagery reflects the phenomenology the model needs to learn — directly determines how those models perform against real-world targets.
Geo Owl Impact
As a Key Position, your SAR expertise anchors Geo Owl's technical depth on Maven and distinguishes our ability to deliver across both EO and SAR modalities — a capability that directly drives program performance.
Your Growth
You'll work at the cutting edge of applied SAR science — integrating pre-IOC sensors, developing novel preprocessing pipelines, and expanding expertise into computer vision and ML data workflows in a high-consequence operational environment.
- ▸Integrate emerging SAR sensors and platforms into existing Maven data pipelines; assess metadata, format, and schema differences and adapt ETL processes accordingly
- ▸Develop and implement mathematical conversion models to transform data labels across imagery types (PNG to standard SAR imagery formats) and between orthorectified and non-orthorectified imagery
- ▸Execute tiling and preprocessing of full-size raw SAR imagery to specified formats and geospatial dimensions while maintaining metadata integrity and data quality standards
- ▸Analyze and assess SAR image quality and sensor metadata to curate acquisitions in alignment with government-directed priorities
- ▸Generate pre-labels from intelligence reporting, machine- and human-derived observations; provide coincident EO imagery within specified geographic and temporal ranges
- ▸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, sensor platforms)
- ▸Develop, test, and evaluate new SAR algorithms, methodologies, and products using advanced processing tools and cloud-based solutions
- ✓Active TS/SCI clearance
- ✓Minimum 18 experience points required (see experience point calculation below)
- ✓4+ years as a SAR expert with deep understanding of collection, phenomenology, image formation process, and exploitation products
- ✓Experience using SARPy and MATLAB SAR toolbox
- ✓Experience with RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics (Integrated Sidelobe Ratio, Multiplicative Noise Ratio), and sensor metadata describing geometry impacts on phenomenology (graze, squint, azimuth)
- ✓Experience exploiting SAR to determine the occurrence and location of objects of interest
- ✓Experience developing, testing, and evaluating algorithms and processes using SAR imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar advanced processing tools
- ✓Experience communicating SAR capabilities, methodologies, and products to both technical and non-technical audiences
- ✓Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods
Preferred Qualifications
- ▸Experience applying computer vision (CV) and machine learning (ML) techniques to SAR imagery to address intelligence problems
Experience Point Requirement
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
- ▸You think in SAR phenomenology — graze angle, squint, azimuth resolution, and multiplicative noise are variables you reason with, not terms you look up
- ▸You can move from scientific analysis to code — writing Python to automate tiling, validate metadata, and build preprocessing workflows is a normal part of your day
- ▸You're rigorous about data integrity — you understand that a mis-labeled tile or bad geospatial bound corrupts downstream model training, and you build pipelines that prevent it
- ▸You adapt quickly when an unfamiliar 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 scientist can actually use
✔ Great Fit
You are an experienced SAR 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.
✘ May Not Be For You
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 SAR sensor phenomenology is not your primary area of expertise.
This role builds deep expertise at the intersection of SAR science, AI/ML data engineering, and national security GEOINT. You'll gain hands-on experience integrating emerging sensors in pre-IOC environments, developing production-grade preprocessing pipelines, and contributing to a program that advances the state of the art in overhead imagery exploitation. The combination of SAR scientific depth and applied pipeline engineering is rare — and highly valued across the intelligence and defense community.
Skills Required
- Active TS/SCI clearance
- Minimum 18 experience points required (per posted calculation)
- 4+ years as a SAR expert with deep understanding of collection, phenomenology, image formation, and exploitation products
- Experience using SARPy and MATLAB SAR toolbox
- Experience with RNIIRS, information-theoretic image quality metrics, SAR metrics (Integrated Sidelobe Ratio, Multiplicative Noise Ratio), and sensor metadata (graze, squint, azimuth)
- Experience exploiting SAR to determine occurrence and location of objects of interest
- Experience developing, testing, and evaluating algorithms and processes using SAR imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar advanced processing tools
- Experience communicating SAR capabilities, methodologies, and products to technical and non-technical audiences
- Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods
- Experience applying computer vision and machine learning techniques to SAR imagery
What We Do
GEO OWL is the result of an absolute obsession to create the most effective and innovative partner possible for your mission. From the beginning, we’ve been dedicated to innovation, vitalized by an engaged team of professionals that always seek to elevate your project to the next level. We believe you need a partner that will provide maximum support in the most efficient ways possible and provide the utmost consideration to every detail of your mission. Geo Owl doesn’t just provide support, we engineer solutions and provide professional leadership that will carry you through your vision and beyond. We’re built on a foundation of belief in our craft. Our team is energetic, methodical and extremely proficient. You will succeed with Geo Owl by your side. Geo Owl is a Service-Disabled Veteran-Owned Small Business
