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How to become a data scientist
- jeyoor 10y agoThings I enjoyed in this article: 1. The emphasis on the importance of general problem solving 2. The clarity concerning various slippery definitions. ("Scientist," "Big Data," etc) 3. The high-quality links and citations
- deleted 10y ago[deleted]
- pmiller2 10y agoUgh. I hate to be "that guy," but I'm on my phone and this is completely unreadable. :(
- ballstothewalls 10y agoIt looks really good on my phone (android with chrome)
- RainCloud 10y agoIf using safari, you can use the reader view (paragraph symbol in the address bar)
- reubano 10y agoIf it makes you feel any better, I'm on my laptop and immediately switched to instapaper "read it now" mode since the font was so small.
- elliott34 10y agoAfter reading this, I recommend reading the following: https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/ https://yanirseroussi.com/2016/08/04/is-data-scientist-a-use...
- spitfire 10y agoUnfortunately their platform has all the commoditization pressures as things like elance. Looking around at projects, it looks like you're be competing against 18-30 other people on any particular project. No thanks.
- yanir 10y agoTheir standard contract also forbids you from engaging in further projects with the same client for 2-3 years unless done via the platform, specifying pretty hefty fines. It's a pretty good deal for the clients, but not ideal for the providers.
- spitfire 10y agoDidn't see that. Man it's good to be a middle-man! Screw the skills business, I'm setting up a general store on the frontier.
- TheCowboy 10y agoDoes anyone know if this could potentially be nullified by states with non-compete clauses? What happens if someone is working for a company that works on a project with a previous? It does seem like this would be difficult to enforce in practice, except in cases where a relationship with a client sours and they report the worker. Otherwise, two parties engaging in a mutually beneficial economic transaction don't want to sabotage that.
- yanir 10y agoI'm based in Australia, and I did only one project through the platform where the client was in Hong Kong. In practice, I doubt they can enforce much, which makes the harsh terms of the contract unnecessarily off-putting. In my case, the potential fines specified in the standard contract were higher than the value of the project, but I figured it was unlikely to be an issue.
- datarambo 10y ago
- iaw 10y agoFirst comment, on HN for 78 days, generic statements about above article.... I question your bias.
- curiousgal 10y agoDoes that make any of what he said less true?
- iaw 10y agoThis entire post/thread appears questionable. From what I can tell there appears to be 5-6 accounts in coordination (2 are easily identified). What's even funnier is that, while I don't disagree with Alec's statements, he doesn't appear to be the most qualified person to be speaking on the subject.
- rfrey 10y agoYou think he/she created an account 2.5 months ago in preparation for shilling when this link was posted?
- dang 10y agoWe detached this subthread from https://news.ycombinator.com/item?id=12242446 https://news.ycombinator.com/item?id=12242446 and marked it off-topic.
- gaius 10y agoData science: freshman level statistics done on a Mac by a guy with an ironic beard
- curiousgal 10y agoYou're being downvoted but I do agree with the overall sentiment, people do underestimate data science not realising you have to be an expert of the field (statistics, ML, etc) in order to truly be a "scientist" otherwise, you'll get stuck on the first non-traditional problem you face.
- pmiller2 10y agoOne thing I would take issue with that was mentioned in the article is that I don't think 'data analyst' is a very good title for getting a next job. I was a 'data analyst' (though it was really a software engineering position) for a year and a half and got very little interest in my resume until I got 2 more years of software engineering experience and changed the job title on LinkedIn to be Software Engineer (Data Analyst). Recruiters rely on keywords extensively, and hiring managers do, too, to an extent. "Data analyst" is not a keyword that opens doors. Use "software engineer" or "data scientist" if they are applicable.
- thefastlane 10y agoagreed on the keyword bingo. analyst can mean different things but the term can sometimes carry an entry-level connotation (e.g., banks).
- 0x54MUR41 10y agoThe following post is on https://www.experfy.com/blog/how-to-become-a-data-scientist-part-2-3 https://www.experfy.com/blog/how-to-become-a-data-scientist-.... and the discussion of that post is available on https://news.ycombinator.com/item?id=12243377 https://news.ycombinator.com/item?id=12243377.