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This Government Contract opportunity from New Hampshire was posted on September 3, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Predictive Analytics & Data Analysis Tools

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
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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

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This subcontract for the New Hampshire Department of Health and Human Services focuses on the supply and implementation of predictive analytics software and data analysis tools to support SNAP projects. The selected provider will develop models to identify high-risk cases, analyze historical error patterns, and create monitoring dashboards to address the root causes of errors. The project requires the integration of predictive modeling software with existing state eligibility systems while adhering to strict SNAP regulations and state data security standards. The primary deliverables include a fully functional predictive analytics tool and a comprehensive implementation report. This opportunity is categorized under NAICS code 541511 and was posted on September 3, 2026, with a response deadline of October 1, 2026.

General Info

Subcontract for NH DHHS to implement predictive analytics software for SNAP project monitoring.

Documents

This scope was carved out of RFI-2027-DES-02-SOLUT.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Solutions to Support Reduction of SNAP Error Rate

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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AgencyNew Hampshire → Dhhs-Department Of Health & Human Services
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies and implements data analysis tools and predictive analytics software for prime contractors on New Hampshire DHHS SNAP projects. Develops models to flag high-risk cases, analyzes historical error data to identify patterns, and provides dashboards to monitor root causes of errors. Requires predictive modeling software and integration with state eligibility systems. Must meet SNAP regulations and state data security standards. Delivers a functional predictive analytics tool and implementation report.

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