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I think it depends on the company. There are a lot of terrible companies that won't look at you for an ML/data science role without a PhD. That's true. There ar
by michaelochurch 14y ago
I think it depends on the company. There are a lot of terrible companies that won't look at you for an ML/data science role without a PhD. That's true. There are others that will hire smart people and give them a chance.
What will probably happen is that the pool of "data science" jobs will grow, but the bottom half won't be real DS.
I don't mean to imply that a person can become a decent data scientist overnight. It takes years, but it can be done.
On Wall Street this sort of role is called a "quant", although there's less machine learning in finance than one would expect (hard to audit). "Data scientist" is a startup quant. Just as with quant jobs, some firms will only hire PhDs with research experience, while others will take chances on smart people without it.
- achompas 14y agoThere are a lot of terrible companies that won't look at you for an ML/data science role without a PhD. I'm arguing that it's more serious than this: there are so many PhDs out there right now, companies will have no lack of skilled, well-credentialed candidates to choose from. Going down the "do it yourself" DS route is thus (a) very difficult, and (b) not very likely to pay off.