Senior SAR Imagery Scientist

MANTECH•Springfield, VA

16h•$114,600 - $190,200•Onsite

About The Position

MANTECH seeks a motivated, career and customer-oriented Senior SAR Imagery Scientist to join our team in Springfield, VA. This is a full-time onsite position. This role involves assisting the SAR lead in assessing potential differences between new sensor characteristics and capabilities compared to currently utilized platforms, and evaluating changes in metadata, data format, and data structure for integration into the existing data operations pipeline. The scientist will determine acquisition methods, potential latency, data formats, and security domains for new data, and will be responsible for pre-processing and standardizing data for labeling and model testing, which may include format conversions or tiling images.

Requirements

10+ years of experience; BA can account for 4 years while a MA/MS can account for 6 years of experience.
4+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products.
Experience SAR imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology
Exhibit experience exploiting SAR to determine the occurrence and location of objects of interest
Experience communicating with a variety of technical and non-technical audiences on availability and capabilities of SAR imagery products, methodologies, procedures, and algorithms to enhance analysis.
Exhibit an understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
An active TS/SCI clearance with the ability to obtain and maintain a polygraph

Nice To Haves

Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems

Responsibilities

Assist the SAR 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.