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Data Scientist
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- The remaining 50% of your time will be spent on campus-wide data science initiatives under the guidance of ITS. This aspect of your role will allow you to delve into areas such as student success metrics, financial systems, and human resources systems.
- Mentorship: You will have the exceptional chance to work closely with Statistician/Data Scientist Daniel Jeske, the current Vice Provost of Academic Personnel and a professor of statistics since 2007.
- Familiarity with highly complex logical data design and data mapping or data conversion.
- Experience building ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines with tools such as Dbt, Dataform, Dataprep, etc.
- Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc.
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