Data Scientist in Springfield, Virginia at Geo Owl

We are seeking a motivated and innovative Exploitation Specialist (Data Scientist) – Level 3 to support mission-critical GEOINT collection improvement initiatives for a government customer in Springfield, Virginia. This role supports research-driven efforts focused on developing advanced analytic methodologies, improving GEOINT collection capabilities, and leveraging data science techniques across multi-INT environments.

The ideal candidate is a self-starter who thrives in ambiguous problem spaces, enjoys research-oriented projects, and can develop creative technical solutions to complex intelligence challenges.

This is a fully on-site position requiring work at the client site 40 hours per week. Telework is not available.

• Active TS/SCI clearance with willingness to obtain a CI Polygraph
• Ability to work on-site in Springfield, VA full-time
• Proficiency with Python
• Experience meeting GEO-SPI Level 3 requirements through one of the following:
  • Minimum of 5 years of relevant experience
  • Bachelor’s degree in a STEM field and 2 years of relevant experience
  • Bachelor’s and Master’s degree in a STEM field

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Physics, or related STEM field
• Knowledge of GEOINT collection processes and associated government customer systems
• Experience with JEMA or low-side equivalents such as:
  • ESRI Model Builder
  • Alteryx
  • Tableau Prep
• Experience with Activity-Based Intelligence (ABI)
• Experience applying machine learning algorithms to intelligence data
• Experience working with multi-INT datasets
• Ability to rapidly learn new technologies and adapt to evolving mission requirements
• Experience developing and testing new analytic methodologies
• Familiarity with JavaScript, HTML, and CSS

• Support development of advanced GEOINT collection methodologies
• Apply data science and analytic techniques to intelligence mission challenges
• Develop, test, and refine analytic workflows and methodologies
• Work collaboratively with mission partners across intelligence disciplines
• Analyze complex datasets to support operational and research objectives
• Contribute innovative solutions to evolving intelligence problems