Imagery Scientist (EO)

About the Role

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.

Key Responsibilities

• Leverage multi-INT data, with an emphasis on EO, to curate imagery from emergent sensors.
• Prioritize curated imagery for the creation of labeled data to support model evaluation and accreditation.
• Ensure curated imagery has objects of interest or needed characteristics (e.g., geographic coverage, scene attributes) per Government prioritization.
• Recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model evaluation, based on the characteristics and limitations of emergent sensors.
• Assist the EO lead in assessing potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
• Assess potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL related processes for data ingestion and movement 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 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.

Requirements & Tech Stack

• 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 programming and scripting, including advanced geospatial skills.
• Excellent understanding of how to apply evolving technology and methodologies to related issues.

Qualifications

• Bachelor’s Degree in a 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

• Experience applying Computer Vision (CV) and Machine Learning (ML) techniques to EO imagery and data to address intelligence problems.