SAR Data Scientist/Imagery Scientist

We are seeking an experienced SAR Data Scientist/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

spectrum of adversarial scenarios. The effort also includes testing and

validating autonomous algorithms designed to support operational

decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter

expertise in Synthetic Aperture Radar (SAR) imagery, geospatial

analysis, and quantitative assessment to support data curation, imagery

exploitation, and dataset development for machine learning model testing

and evaluation. You will collaborate with engineers, data scientists,

and mission analysts to ensure imagery products are prepared,

standardized, and optimized for AI/ML applications.

Role Overview

• Support the Lead SAR Scientist in evaluating emerging sensor

capabilities and comparing new collection platforms with existing

operational systems.

• Assess the impact of new sensor data on existing data architectures,

including metadata, file formats, schemas, APIs, and ETL processes

required to ingest and integrate data into operational pipelines.

• Evaluate data acquisition strategies, expected collection latency,

available data formats, and applicable security domains for new

sensor sources.

• Develop preprocessing and standardization workflows to prepare

imagery for labeling, analytics, and AI/ML model testing. This may

include file format conversion, image tiling, geospatial

normalization, and other data preparation activities to ensure

Eligibility/Clearance: Candidate must possess an active TS/SCI clearance

and be willing to obtain a CI Polygraph, Active TS/SCI clearance with eligibility for CI Polygraph (we can

sponsor your CI poly if you don’t already have one)

• 4+ years of experience working with Synthetic Aperture Radar (SAR)

imagery, including collection methodologies, radar phenomenology,

image formation, and exploitation products.

• Experience evaluating SAR imagery quality metrics and interpreting

sensor metadata, including the effects of collection geometry (e.g.,

graze angle, squint angle, azimuth) on SAR phenomenology.

• Demonstrated experience exploiting SAR imagery to detect, identify,

and geolocate objects of interest.

• Strong understanding of remote sensing principles, imagery

processing, and advanced SAR exploitation techniques.

• Excellent communication skills with the ability to effectively

present SAR methodologies, imagery products, and analytical findings

to both technical and non-technical audiences.

Preferred:

• Experience applying computer vision (CV), machine learning (ML), or

deep learning techniques to SAR imagery and geospatial data to

support intelligence, defense, or remote sensing applications.

Education:

• Bachelor’s degree in Information Systems, Engineering,

Cybersecurity, or related technical field (or equivalent

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