587: Data Engineering for Data Scientists

Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "587: Data Engineering for Data Scientists" was published on June 28, 2022 and runs 85 minutes.

June 28, 2022 ·85m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup. In this episode you will learn: How Humu leverages data and machine learning to improve workplace behaviors [10:38] What is data engineering? [14:21] What it takes to get promoted into more senior data science roles [20:55] The differences between junior, senior, and staff data scientists [30:21] Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08] Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10] Why all data scientists should be interested in Web3 [1:11:53] Additional materials: www.superdatascience.com/587

Episode Description