What are the responsibilities and job description for the Data Scientist position 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.
Required Qualifications- 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