Data Scientist, Expert

GRVTY•Arnold, MO

About The Position

The primary role will be the technical lead for custom data management and advanced system operations, focusing on process improvement, maintenance, and alignment of GEOINT dissemination systems to emerging NGA standards. This position serves as the technical POC for services requiring specialized expertise in geospatial data analysis, automation, and system administration.

Requirements

US Citizen with a TS/SCI Clearance and ability to obtain a CI Polygraph
18 years of combined experience in the field with a Bachelor’s in a relevant field of study.
Expert-level proficiency in Python and other object-oriented programming languages.
Demonstrated experience with relevant Python libraries including Pandas and Geopandas.
Advanced experience using Python to automate complex workflows and integrate with cloud services.
Proven experience with relational databases and web development tools, including API integration.
Extensive experience in database administration and cloud-based data management.
Deep knowledge of GEOINT products, data formats, and satellite imagery systems.
Excellent communication skills with demonstrated ability to collaborate across organizations.
Extensive experience developing and implementing process improvements.
Experience using AI/ML for feature extraction, data enrichment, and predictive analytics

Nice To Haves

Master’s degree in a relevant field of study
Certifications in Python and other programming languages
Experience implementing machine learning solutions
Advanced experience with geospatial analysis and data manipulation
Deep understanding of NGA systems including Custom Media Services, NSG Consolidated Library, and Gateway
Practical experience with UNIX/Linux operating systems, particularly RedHat Linux
Understanding of NGA's mission partners and Intelligence Community requirements

Responsibilities

Develop and implement automation strategies to streamline seamless data handling, data integrity, and distribution processes to enhance efficiency and accuracy.
Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance GEOINT processes, and systems.
Design and deploy custom automation tools to facilitate streamlined workflows, rapid and secure data transfer, minimizing manual intervention and reducing turnaround times.
Apply AI/ML techniques to enhance geospatial analysis capabilities and improve accuracy in data extraction from various sources.
Develop API-based integration solutions to improve data exchange between NGA and partner systems.
Maintain Legacy Python codebase, integrate codebase new security requirements and future Source dissemination solutions.
Collaborate with GEOINT content teams to integrate automated quality checks, ensuring the highest standards of data integrity and reliability.