Master’s-level Data & Analytics Intern to help mature our Databricks environment through improved metadata tagging, governance alignment, and process documentation, while also contributing to AI/ML project work on Databricks. In this role, you will partner with Data & Analytics and adjacent stakeholders to strengthen how data assets are organized, governed, and documented in Databricks. You’ll help define and apply practical metadata standards (ownership, classification, lifecycle, etc.), document repeatable operating processes, and support at least one AI/ML initiative by contributing to data preparation and model experimentation workflows.
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Career Level
Intern