GEOINT Data Scientist: Automation & AI for Geo Data

GRVTY; Arnold (MO); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Robust health plan including medical, 

Health Savings Account with company"

Job summary

GRVTY is seeking a technically skilled team member to support custom data management and advanced GEOINT system operations. You will drive process improvements, automate data handling, and align dissemination systems to NGA standards.

The role emphasizes automation, cloud integration, and AI/ML for geospatial analysis, with ongoing maintenance of legacy Python code and collaboration with GEOINT content teams to ensure data integrity.

Qualifications

• 5 years of combined experience in geospatial data management and system operations.
• Mid-level Python proficiency and experience with Pandas/Geopandas.
• Experience automating data workflows and integrating with cloud services.

Responsibilities

• Develop and implement automation strategies to streamline data handling and distribution.
• Analyze large data volumes to enhance GEOINT processes and systems.
• Design and deploy custom automation tools for streamlined workflows and secure data transfer.
• Apply AI/ML techniques to improve geospatial data extraction and accuracy.
• Develop API-based integrations between NGA and partner systems.
• Maintain legacy Python code, aligning with new security requirements.

Skills

Python (mid-level)

Pandas

Geopandas

APIs

Cloud automation

Data management

Automation workflows

AI/ML for geospatial

Database administration

GEOINT knowledge

Education

Bachelor’s degree in a relevant field

Tools

Relational Databases

Web development tools (API integration)

UNIX/Linux (RedHat)

Job description

GRVTY is seeking a technically skilled team member to support custom data management and advanced GEOINT system operations. You will drive process improvements, automate data handling, and align dissemination systems to NGA standards.

The role emphasizes automation, cloud integration, and AI/ML for geospatial analysis, with ongoing maintenance of legacy Python code and collaboration with GEOINT content teams to ensure data integrity.