Senior Exploitation Specialist — Data Scientist

Tech On Time, Inc.; St. Louis (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Technology On Time, Inc. (TnT) is hiring a Senior Exploitation Specialist (Data Scientist) to support the NGA Analysis Office at NGA St. Louis.

You will build scalable processes over large, complex intelligence datasets, surface the trends and discoveries hidden in them, and deliver those findings as visualizations that analysts can fold into daily operations. This is a high-tempo, senior-level role with multiple concurrent efforts.

Qualifications

• Active TS/SCI clearance with the ability to obtain a CI Polygraph.
• Intelligence background, having provided analysis and/or data science directly supporting an intelligence mission.
• Senior-level Python scripting ability.
• Ability to translate analytic discoveries into visualizations for daily operations.

Responsibilities

• Build scalable processes over large and complex intelligence datasets to surface trends.
• Surface discoveries and deliver findings as visualizations for analysts to use in daily operations.
• Work in a high-tempo environment with multiple concurrent projects at varying stages.

Skills

Python scripting

Data analysis

Visualization

Independent work

Large datasets

IC data repositories familiarity

Tools

JEMA

Brewlytics

ArcGIS Model Builder

Job description

Technology On Time, Inc. (TnT) is hiring a Senior Exploitation Specialist (Data Scientist) to support an NGA Analysis Office at NGA St. Louis. You will build scalable processes over large, complex intelligence datasets, surface the trends and discoveries hidden in them, and deliver those findings as visualizations that analysts can fold into daily operations. This is a high-tempo, senior-level role with multiple concurrent efforts.

Required Qualifications

• Active TS/SCI clearance with the ability to obtain a CI Polygraph.
• Intelligence background, having provided analysis and/or data science directly supporting an intelligence mission.
• Ability to operate at a senior level in an independent environment.
• Demonstrated proficiency designing and implementing scalable processes for large and complex datasets to identify trends, insights, and analytical discoveries.
• Senior-level Python scripting ability. Additional languages and low-code/no-code platforms (JEMA, Brewlytics, ArcGIS Model Builder) are welcome, but Python is required.
• Ability to translate analytic discoveries into visualizations that integrate easily into daily operations.
• Ability to operate in a high-tempo environment, developing and managing multiple projects and solutions simultaneously at varying stages of implementation.
• Familiarity with common Intelligence Community (IC) data repositories.