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Data Scientist - Expert with TS/SCI Clearance
CALNET, Inc.Alexandria, United Statesfull_timeVerifiedPosted 15 Jul 2025
About the role
Founded in 1989, CALNET, Inc. has become one of the fastest growing privately held companies in the Technology, Intelligence Analysis, and Language Services consulting arena. Headquartered in Reston, VA, CALNET employees deliver true value to our customers by employing best practices, world-class technologies industry expertise in every project. CALNET is ISO 9001, ISO 20000, ISO 27001, CMMI-Level III for Services, and CMMC Level 2 certified. We are currently searching for a talented, professional Data Scientist - Expert with TS/SCI clearance to join our team to support NGA. About the JobThe Data Scientist will support NGA operations within Geospatial Activities by supporting new technologies and procedures to enhance geospatial databases and data storage. They will lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. This work will support QM doing new sensor integration into NGA’s MAVEN. MAVEN is NGA’s main AI initiative, using computer vision to automatically sift through vast amounts of GEOINT (NTM, FMV and now emerging sensors), to identify objects of interest, and extract relevant information, significantly reducing the time and effort required for manual analysis. Requirements
- Active TS/SCI clearance required with willingness to sit for a CI Polygraph.
- Minimum of 15 years of experience in Data Science, Data management, and database knowledge.
- Bachelor's Degree
- 4+ years of experience working with SQL or NoSQL databases and cloud architectures.
- Experience leveraging API’s to query systems and migrate data.
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
- Experience with programming languages such as Python, JavaScript, or Java
- Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces
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