Imagery Scientist (EO)

Leidos•Alexandria, VA

10d•Onsite

About The Position

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.

Requirements

Bachelor’s Degree in related field with 4 years of experience. Additional years of experience can be considered in lieu of degree.
Experience can be considered in lieu of a degree.
Active TS/SCI with ability to be approved for a Poly
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

Nice To Haves

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

Responsibilities

Leverage multi-INT data, with an emphasis on EO, to curate imagery from the emergent sensors.
Prioritize curated imagery for 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 the emergent sensor.
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.