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也想知道,网上查到一些回答:
Understand exactly what you mean by data science.
Data science is still a relatively broad field, because there isn't yet a well defined view of what it is. It is greatly in the eye of the beholder (i.e., employer) what a data scientist really is.
At a mature company which has been doing data science before data science was a thing, they are probably looking at someone with a PhD in statistics/computational math/computational physics/etc, and are likely less focused on your ability to develop reports/websites/etc.
At a more cutting edge, software/app/consulting-type company which is actually centered around data science, they are probably looking for someone who has the technical chops to make advancements in the actual data-science part of things, but probably less concerned about where you got that skill.
At a more traditional company which is trying to build a data science department (without necessarily knowing what that means), they are likely looking for someone who maybe isn't a data scientist at all, i.e., they may want someone with an understanding of medium-to-advanced statistics, good business acumen, and good-to-advanced data manipulation skills.
To be honest, coming from an accounting background, your best bet is the latter: a position in which you are using data to drive decision-making, trying to build advanced analytics capabilities, but where being a "jack of all trades" is more valuable than being a data science wizard. |
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