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

587: Data Engineering for Data Scientists 01:25:09 Share

Super Data Science: ML & AI Podcast with Jon Krohn

Shownotes Transcript

587: Data Engineering for Data Scientists