Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day.
This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio">⁠⁠Dell⁠⁠</a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> ⁠⁠Intel⁠⁠</a>, by <a href="https://www.fabi.ai/">Fabi</a>, and by <a href="https://airia.com/register/?utm_source=super_data_science&utm_medium=podcast&utm_id=q4">Airia</a>.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/947">www.superdatascience.com/947⁠⁠</a>⁠⁠⁠

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn: 
<ul>
 <li>(09:05) Forecasting in data science          	     	 </li>
 <li>(23:33) How to get a data science job at Netflix 	     	</li>
 <li>(30:06) Jeff’s experience on launching an AI startup    	 </li>
 <li>(51:57) Jeff’s AI toolkit                                   	</li>
</ul>

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947: How to Get Hired at Top Firms like Netflix and Spotify, with Jeff Li

Super Data Science: ML & AI Podcast with Jon Krohn

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