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This Government Contract opportunity from Department Of Homeland Security was posted on May 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Management and Data Science Support for Identity Systems

Closed
Federal

Contract Overview

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The contract involves providing specialized data science and management support focused on biometric and identity data systems. Key tasks include analyzing XML rap sheets, developing data models, and ensuring the integration of data with federal standards and formats. This work is critical for enhancing the accuracy, interoperability, and overall management of identity-related information systems. Awarded as a subcontract under NAICS code 518210, the project is overseen by the Department of Homeland Security's Security Technology division. The work will be performed in Springfield, with a contract posting date of late May 2026 and a response deadline set for early June 2026. The absence of a specified solicitation number or designated set-aside indicates a potentially open competitive opportunity within this specialized domain.

General Info

Provide data science support for biometric systems, analyzing XML rap sheets under DHS supervision.

Agency

Department Of Homeland Security → Security Technology

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

Springfield, VA, 22153, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Security Technology
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Homeland Security → Security Technology
Office AddressN/A
ContactsNo contact information available

Full Description

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Provide data science and management support for biometric and identity data systems, including XML rap sheet analysis, data modeling, and integration with federal data formats.