Imagery Scientist (EO)

Leidos; Alexandria (VA); On-site; USD 92,000 - 167,000; Full time

Job summary

Leidos is actively hiring an Imagery Scientist (EO) to join our team in Alexandria, VA. The role involves providing geospatial and imagery expertise and performing quantitative analysis to improve data curation for ML model testing and evaluation.

Responsibilities include curating EO imagery, developing diverse datasets, assessing sensor differences, handling metadata and ETL processes, and pre-processing data for labeling and model testing. A TS/SCI with poly is required.

Qualifications

• Experience with Electro-optical imagery analytical products and multi-INT analysis.
• Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through programming and scripting.
• 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.

Responsibilities

• Leverage multi-INT data, with an emphasis on EO, to curate imagery for ML labeling and model evaluation.
• Recommend curation strategies and identify data gaps to develop diverse, representative datasets for ML evaluation.
• Assess potential differences between new sensor characteristics and current platforms.
• Assess metadata, data formats, and ETL considerations for data ingestion and movement.
• Determine how to acquire new data, latency, formats, and security domains.
• Pre-process and standardize data to match existing data standards for labeling and model testing.

Skills

EO imagery analysis

Multi-INT analysis

Geospatial analysis

Programming

Scripting

Data visualization

Education

Bachelor's degree in related field

Job description

Description

Leidos is actively hiring for an Imagery Scientist (EO) to join our team in Alexandria, VA.

The EO Geospatial Analyst shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.

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. Step 10 is ancient history. 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:

Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline onlyand 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.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

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Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.