Presenter:
@othiym23
github.com/othiym23
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General key themes:
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Hiring is really hard. You’re not just hiring a “Rails Engineer” or a “Python Programmer” you’re hiring someone who can help you change the world. Tell them why! Talk about the hard problems you’re solving. 2/3 of these talks give ideas and insight into hiring from sourcing to actual interview processes.
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Rewriting systems is hard. People think they are going to replace their broken down horse and buggie with a bullet train and this often ends up in disaster. Successful rewrites require an incremental approach that takes months/years and often runs way over schedule. 2/3 of these talks go over how to handle rewrites not only from a high level technical perspective but a cultural/management perspective as well.
If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
- Statistical knowledge
- Programming/hacking skills
- Domain expertise