GRVTY is seeking a motivated and experienced imagery scientist (SAR) to 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. The ideal candidate is an experienced SAR imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.
What You'll be Owning
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 regard 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
Ascertain 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 include converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
What You Must Have
Active TS/SCI Clearance with the ability to obtain a CI/Poly
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
Exhibit 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
What Would be Nice to Have
Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems
Numbers & Facts
Location
St. Louis, MO
Skills
Algorithmsunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Data Formatsunmatched
Data Managementunmatched
Data Structuresunmatched
Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
Geometryunmatched
Information/Data Security (InfoSec)unmatched
Machine Learningunmatched
Metadataunmatched
Operational Supportunmatched
Problem Solving Skillsunmatched
Quality Metricsunmatched
Quantitative Analysisunmatched
Sensitive Compartmented Information (SCI)unmatched
Testingunmatched
Top Secret Clearanceunmatched
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