Automated Data Anomaly Detection System Development

The contract seeks the development of automated tools and scripts designed to identify anomalies and errors within crash data, with a focus on enhancing data integrity and reliability. The solution must integrate seamlessly with the National Highway Traffic Safety Administration’s existing data ingestion pipeline, ensuring real-time or near-real-time validation of incoming records. This includes building robust validation models capable of detecting inconsistencies, outliers, and potential data entry errors that could compromise analysis or reporting outcomes. The work requires strong expertise in data processing, machine learning techniques, and system integration to establish reliable automated monitoring and alerting mechanisms. Performance of the contract is centered in Washington, D.C., with a delivery deadline of May 18, 2026, and the work is structured as a subcontract under the NAICS code 541512 for custom computer programming services. The contracting office operates under the U.S. Department of Transportation, specifically the NHTSA Office of Acquisition, and participants must be prepared to meet precise technical requirements for data validation without reliance on external documentation or file-based references. The opportunity does not specify set-aside status or point of contact, and bidders are expected to fully understand the scope based on the stated objectives and integration needs with NHTSA’s infrastructure.