U.S. Customs and Border Protection (CBP) Office of Trade (OT) Advanced Trade Analytics Platform (ATAP) Data Scientist Support Services
ID: CBP_ATAP_DSSType: Sources Sought
Overview

Buyer

HOMELAND SECURITY, DEPARTMENT OFUS CUSTOMS AND BORDER PROTECTIONMISSION SUPPORT CONTRACTING DIVISIONWASHINGTON, DC, 20229, USA
Timeline
    Description

    The Department of Homeland Security, specifically the U.S. Customs and Border Protection (CBP), is seeking data scientist support services for its Advanced Trade Analytics Platform (ATAP) to enhance its trade mission through innovative data analysis and modeling. The procurement aims to secure contractors who will collaborate with CBP's existing analytics team to develop data-driven solutions that address various business needs, including the creation of analytical tools and machine learning models. This initiative is crucial for CBP as it leverages extensive trade data to improve decision-making capabilities while ensuring the integrity and security of sensitive information. Interested parties must submit their capabilities statements and responses to specific inquiries by 12pm ET on January 24, 2025, to Contracting Officer Jared A. Tritle at jared.a.tritle@cbp.dhs.gov.

    Point(s) of Contact
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    The U.S. Customs and Border Protection (CBP) is seeking data science services to enhance its trade mission through innovative data analysis and modeling. The purpose of the Statement of Work (SOW) is to secure contractors who will collaborate with CBP's existing analytics team to develop data-driven solutions addressing business needs. Key services outlined include strategic planning, data analytics, emerging technology monitoring, and workforce transformation support. The Trade Transformation Office (TTO) oversees this initiative, ensuring the integration and efficiency of the Advanced Trade Analytics Platform (ATAP), which handles extensive trade data and enhances decision-making capabilities. Contractors will be responsible for creating analytical tools, managing complex datasets, and developing machine learning models to support CBP objectives. The document details performance requirements, personnel qualifications, security protocols, and compliance with federal regulatory standards. It emphasizes the need for experienced personnel, including data scientists, analysts, and engineers, to ensure data integrity and safeguard sensitive information. Overall, this initiative represents CBP's commitment to leveraging data science in fulfilling its mandate to protect U.S. borders while facilitating legitimate trade.
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