Imagery Scientist (EO)

Primary Responsibilities

• Leverage multi-INT data, with an emphasis on EO, to curate imagery from the emergent sensors. Curated imagery will be prioritized for creation of labeled data to support the model evaluation and accreditation. Curated imagery should have objects of interest or needed characteristics (e.g., geographic coverage, scene attributes) per Government prioritization.
• Based on the characteristics and limitations of the emergent sensor, recommend curation strategies and identifying data gaps to develop a diverse, representative dataset for Machine Learning model evaluation
• Assist the EO lead in conducting assessment 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, APIs, 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.

Basic Qualifications

• Experience with Electro-optical imagery analytical products and conducting multi-INT analysis
• Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies to related issues
• Bachelor's Degree in related field. Additional years of experience can be considered in lieu of degree
• Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications

• Exhibit experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

• #GEOINTMISSION
• #NSBA

• If you're looking for comfort, keep scrolling.
• At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it.
• We're not hiring followers.
• We're recruiting the ones who disrupt, provoke, and refuse to fail.
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• We're already at step 30 - and moving faster than anyone else dares.

Original Posting: September 24, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.