Geospatial Data Scientist — AI/ML for GEOINT Insights

US National Geospatial-Intelligence Agency; St. Louis (MO); On-site; USD 77,000 - 158,000; Full time

Job summary

The NGA in St. Louis, MO seeks data scientists to apply advanced statistical and machine learning methods to national defense data. This open continuous job announcement builds a qualified pool for future staffing needs.

Responsibilities include probabilistic modeling, data analysis of GEOINT datasets, collaboration with analysts, and developing actionable insights for mission partners. Requires US citizenship and security clearance eligibility.

Qualifications

• Experience with exploratory data analysis on large datasets.
• Ability to clean, transform, and enrich data for modeling.
• Experience reporting insights to non-technical stakeholders.

Responsibilities

• Develop and apply probabilistic modeling, AI/ML, and CV methods to large data.
• Analyze imagery, ML outputs, and GEOINT datasets for insights.
• Collaborate with analysts and data professionals on teams.
• Conduct data analysis across multiple systems.
• Model GEOINT mission data to support decisions.
• Work with mission partners on data needs.
• Provide complex solutions across deployed systems.
• Integrate new data into existing workflows.

Skills

Structured/unstructured data analysis

Data science programming (Python/R/SQL

Communication of technical methods

Education

Bachelor's degree in Mathematics/Statistics/Data Science/CS/Geospatial or related field with stats coursework

Tools

Python

R

SQL

Tableau

matplotlib

Job description

The NGA in St. Louis, MO seeks data scientists to apply advanced statistical and machine learning methods to national defense data. This open continuous job announcement builds a qualified pool for future staffing needs.

Responsibilities include probabilistic modeling, data analysis of GEOINT datasets, collaboration with analysts, and developing actionable insights for mission partners. Requires US citizenship and security clearance eligibility.