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Continuous Vetting and Data Modeling Analysts

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The contract seeks qualified analysts to support Continuous Vetting operations for the Defense CI and Security Agency under the Department of Defense, focusing on advanced data modeling and automated risk detection to assess personnel suitability across their entire security lifecycle. The work will involve monitoring and evaluating security clearance status through dynamic data analysis to identify emerging risks in real time, ensuring ongoing compliance with federal security standards. Performance is required to be conducted in Hanover, Maryland, with a NAICS code of 541690 indicating it is a subcontract for other administrative and support services, specifically targeted toward analytical and technical support functions. The solicitation was posted on July 1, 2026, and while no set-aside type or point of contact is specified, the emphasis remains on leveraging technology and data science to enhance the accuracy and efficiency of continuous vetting processes.

General Info

Analysts needed in Hanover, MD to support DoD continuous vetting via advanced data modeling and real-time risk detection.

Agency

Department Of Defense → Defense Ci And Security AgencyView Agency

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Hanover, MD, 21076, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedJul 1

subcontract

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Ci And Security Agency

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → Defense Ci And Security Agency

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Support Continuous Vetting operations using advanced data modeling and automated risk detection to monitor personnel suitability throughout their security lifecycle.

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