Imagery Scientist (SAR)

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., 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, + 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, + 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

Do you have experience in Satellite data analysis?, Do you have a Master's degree?, 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., * *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, 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

TOOLS, TECHNOLOGIES & TRADECRAFT

SARPy

MATLAB SAR Toolbox

Python

Google Earth Engine

SAR Phenomenology

RNIIRS

SAR Imagery Quality Metrics

Standard SAR Formats

ETL Pipelines

NLP-based Curation

Computer Vision [Preferred]

ML Techniques [Preferred], 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., 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.

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

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.