Junior Data Scientist [Python Experience] with Top Secret / SCI Clearance

Calnet • Springfield, VA

1d • Onsite

About The Position

We have an exciting opportunity for a Data Scientist with Top Secret / SCI Clearance . The positions will be supporting a new team at NGA that does very similar work to some of our automated collection work. The team will be building automated multi-INT analytic models that detect activity of interest and task GEOINT collection. The qualifications are: Must have: Active TS/SCI clearance with the willingness to take a CI polygraph exam Able to work on client site in Northern Virginia 40 hours a week (very limited option for telework) Proficient with Python and experience with JEMA Nice to have: Experience with multiple intelligence types (SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT) Experience with Brewlytics, JEMA, ArcPro and/or other geospatial data analysis tools Knowledge of GEOINT collection and associated NGA/NRO systems Proficiency with common programming languages including R, SQL, HTML, and JavaScript Experience analyzing geospatially enabled data Experiences providing embedded data science / automation support to analytic teams Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Requirements

• Must be capable of obtaining and holding a U.S. government Top Secret / SCI clearance.
• Prefer the candidate to already have a CI Polygraph.
• Bachelor’s degree in computer science, Computer Engineering or related field
• 1+ years of software development experience in common programming languages including Python, R, SQL, HTML, and JavaScript.
• Experience developing AI Tools
• U.S Citizenship with Top Secret / SCI clearance is required for this position.

Nice To Haves

• Experience with multiple intelligence types (SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT)
• Experience with Brewlytics, JEMA, ArcPro and/or other geospatial data analysis tools
• Knowledge of GEOINT collection and associated NGA/NRO systems
• Proficiency with common programming languages including R, SQL, HTML, and JavaScript
• Experience analyzing geospatially enabled data
• Experiences providing embedded data science / automation support to analytic teams
• Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level