NAL data analysis and data engineering support for public access
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The Agricultural Research Service within the Department of Agriculture is seeking data engineering and data analysis support to prepare NAL scientific research data and publication records for public access. The primary objective is to enable AI usage through automated processes, specifically utilizing Python and Data Bricks to ensure that all data is accessible and functional for advanced computational tools. The selected provider will be responsible for maintaining high levels of data quality and consistency while ensuring strict compliance with established metadata standards and DR 1020-006. This forecast is categorized under NAICS code 541512 and is managed by point of contact Nicole McKenzie.
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