665: How to be both socially impactful and financially successful in your data career

<p>Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.</p><p>This episode is brought to you by <a href='https://pathway.com/?from=superdatascience'>Pathway</a>, the reactive data processing framework, and by epic LinkedIn Learning instructor <a href='https://www.linkedin.com/learning/paths/learning-codeless-machine-learning-with-knime'>Keith McCormick</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href='https://www.jonkrohn.com/podcast'>JonKrohn.com/podcast</a> for sponsorship information.<br/><br/></p><p>In this episode you will learn:<br/>• Josh&apos;s &apos;Data Engineering for Machine Learning&apos; course [06:50]<br/>• Contextual bandits [10:52]<br/>• Data quality and monitoring [16:45]<br/>• The “infinite loop of sadness” in data product development [25:12]<br/>• Josh’s definition of a data scientist [30:02]<br/>• Josh&apos;s role at WeaveGrid [37:36]<br/>• Management-Track vs Independent Contributor [48:47]<br/>• Josh&apos;s work on the Covid pandemic [1:06:46]<br/>• Josh’s favorite tech stack [1:11:13]<br/><br/></p><p>Additional materials: <a href='https://www.superdatascience.com/665'>www.superdatascience.com/665</a></p>