GEOINT Data Scientist — Exploitation Specialist (Mid)

Bluehawk, LLC; Springfield (VA); On-site; USD 100,000 - 160,000; Full time

Job summary

BLUEHAWK, LLC is seeking an Exploitation Specialist (Data Scientist) – Mid in Springfield, VA to support mission-critical analytic and data exploitation efforts for NGA. This role is ideal for junior professionals or recent STEM graduates aiming to launch their careers in the Intelligence Community.

Responsibilities include developing data-driven methodologies, working with diverse datasets, and collaborating with cross-functional teams to deliver scalable data solutions using Python and SQL.

Qualifications

• Active TS/SCI clearance required.
• Willingness to work onsite in Springfield, VA (40 hours/week).
• Proficiency with Python.
• Intermediate SQL skills.
• Strong analytical and problem-solving abilities.
• Adaptability to dynamic mission requirements and learning new technologies.

Responsibilities

• Support data exploitation and analytic efforts for GEOINT operations.
• Develop and enhance data-driven analytic methodologies.
• Work with structured and unstructured datasets to support operational intelligence needs.
• Collaborate with technical and analytic teams to build scalable data solutions.
• Leverage Python and SQL to manipulate, analyze, and visualize data.
• Contribute to mission innovation and emerging analytic capabilities within the IC.

Skills

Python

SQL

Analytical thinking

Problem solving

Education

Bachelor's degree in STEM

Tools

Grafana

Tableau

Kibana

JavaScript

HTML

CSS

Job description

BLUEHAWK, LLC is seeking an Exploitation Specialist (Data Scientist) – Mid in Springfield, VA to support mission-critical analytic and data exploitation efforts for NGA. This role is ideal for junior professionals or recent STEM graduates aiming to launch their careers in the Intelligence Community.

Responsibilities include developing data-driven methodologies, working with diverse datasets, and collaborating with cross-functional teams to deliver scalable data solutions using Python and SQL.