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This Government Contract opportunity from Florida was posted on September 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Predictive Modeling for Layoff Aversion

Closed
State & Local

Contract Overview

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

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NAICS: 541511
New
Federal
F-35 JPO Enterprise Data Science and Analytics Support
Solicitation # N0001927R0054
The Naval Air Systems Command is seeking information for the F-35 JPO Enterprise Data Science and Analytics Support contract, identified by solicitation number N0001927R0054. This effort focuses on the formulation, development, and deployment of production-ready machine learning solutions, including predictive maintenance, readiness forecasting, and supply-chain optimization. The scope includes business intelligence through executive data storytelling and interactive dashboards, as well as the design of secure cloud data architectures using AWS GovCloud, Azure Government, or Snowflake. Technical deliverables must be packaged in security-hardened Docker containers and deployed via Kubernetes or OpenShift, with a requirement for ETL/ELT pipelines to maintain at least 98 percent data completeness and accuracy. The anticipated period of performance consists of one 12-month base period with four 12-month option periods. Work may be performed at contractor facilities, authorized government locations in the National Capital Region, or through approved hybrid arrangements. Due to the sensitive nature of the work, the company must be U.S.-owned and headquartered in the United States, and personnel must possess active Top Secret clearances. Key personnel requirements include a Data Science/Machine Learning Lead, an Enterprise Data Architect, and a Business Intelligence and Analytics Lead. While this is currently a sources-sought RFI and no formal solicitation exists, respondents must be registered in the System for Award Management and fall under NAICS code 541511.
Naval Air Systems Command

POSTED

about 17 hours ago

DEADLINE

in 14 days

AI Contract Overview

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This subcontract focuses on the development and implementation of predictive models for prime contractors supporting the Florida Department of Commerce. The primary objective is to utilize machine learning frameworks and historical labor market datasets to forecast economic instability, create employer intelligence health indicators, and develop models specifically for workforce instability and layoff aversion. The final deliverable is a functional predictive model fully integrated into the designated platform. The project is categorized under NAICS code 541511 and mandates strict adherence to security and compliance standards, specifically requiring SOC2 reporting and the NIST 800-53 moderate baseline. Interested parties must respond by September 25, 2026, to the solicitation posted on September 1, 2026.

General Info

Develop predictive labor market models for Florida Department of Commerce by September 2026.

Documents

This scope was carved out of 27-RFP-003-VW.

The full solicitation package (8 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Advanced Business Intelligence and Analytics Platform

AI Contract Breakdown

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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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AgencyFlorida → Department of Commerce
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs development and implementation of predictive models for prime contractors on Florida Department of Commerce projects. Develops predictive models for layoff aversion and workforce instability, creates employer intelligence health indicators, and analyzes industry sectors to forecast economic instability using machine learning frameworks and historical labor market datasets. Requires NIST 800-53 moderate baseline and SOC2 reporting. Delivers a functional predictive model integrated into the platform.

More opportunities from Florida → Department of Commerce

Same awarding agency

NAICS: 561320
SLED
Workforce Ongoing Temporary Disaster-Recovery Staffing
Solicitation # 27-RFP-006-LJ
The Florida Department of Commerce is soliciting proposals under solicitation 27-RFP-006-LJ to establish a statewide master contract for temporary staffing services. The selected contractor will support 21 Local Workforce Development Boards across 67 Florida counties by providing as-needed staffing for disaster-related employment, specifically for the cleanup, repair, and restoration of damaged properties and the provision of humanitarian assistance. Key responsibilities include referring qualified candidates for the Dislocated Worker Grant program, serving as the employer of record, and managing the deployment and administration of workers. The anticipated contract period is from January 1, 2027, to December 31, 2029, with a duration of 36 months and the potential for three optional renewal years. Proposals are evaluated based on a point system focusing on past performance references and the proposed yearly average percentage management fee. The contractor must adhere to strict submission guidelines, requiring the technical and cost proposals to be packaged separately to avoid rejection. Essential requirements include providing Level One background screenings from the Florida Department of Law Enforcement and maintaining cyber liability insurance of at least 10 million dollars per claim. Payment is managed by the individual Local Workforce Development Boards via monthly invoicing, potentially through the Ariba Supplier Network. The contract also mandates compliance with various federal and state standards, including the Davis-Bacon Act, the Florida Information Protection Act, and non-discrimination regulations.
Temporary Help Services

POSTED

7 days ago

DEADLINE

in 27 days
View Details

Earlier notices in this NAICS code

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