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# Senior EO Imagery Analyst / Scientist

- **Company:** BAE Systems
- **Location:** Sterling, VA, United States
- **Experience:** Expert
- **Salary:** $118,095.0 - $200,762.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Computer Vision, Databases, Extract Transform Load (ETL), Data Structures, Machine Learning, DataOps
- **Published:** August 14, 2026
- **Apply:** https://www.juju.com/job/00000000gmyntc

## About the Role

+ 6 years as an Electro-Optical (EO) Analysis expert with understanding of collection, phenomenology, imagery formation process, and exploitation products. An approved degree, may be substituted for some experience.

 + At least 3 years of experience exploiting the electromagnetic spectrum determine the occurrence and location of objects of interest.

 + Demonstrated experience with EO imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology.

 + Strong in communicating with a variety of technical and non-technical audiences on the availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.

 + An understanding of the principles of remote sensing and imagery processing and advanced exploitation methods.

 + General experience in Machine Learning (ML) techniques to EO imagery and data to address intelligence problems is desired.

 + A current TS/SCI clearance with ability to obtain CI poly if necessary

Preferred Education, Experience, & Skills

 + Experience applying Computer Vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems.

## Description

The Senior EO Imagery Analyst / Scientist shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning (ML) algorithm testing and evaluation.

Day-to-day tasks may include but not be limited to:

 + Assist the EO Lead in conducting assessments of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.

 + Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, API s and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.

 + Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.

 + Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.


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