Demand and Salaries For Data Scientists Continue To Climb (ieee.org) 66
Data-science job openings are expanding faster than the number of technologists looking for them, says job-search firm Indeed. From a report: Back in August, a LinkedIn analysis concluded that the United States is facing a significant shortage of data scientists, a big change from a surplus in 2015. Last week, job-search firm Indeed reported that its data indicates the shortage is getting worse: While more job seekers are interested in data-science jobs, the number of job postings from employers has been rising faster than the number of interested applicants.
According to Indeed, job postings for data scientists as a share of all postings were up 29 percent in December 2018 compared with December 2017, while searches were only up around 14 percent. "The bargaining power in data science remains with the job seekers," Andrew Flowers, Indeed economist, stated in a press release. [...] Salaries for data scientists are up as well. Average salary in the area surrounding Houston, which topped the 2018 list when adjusted for the cost of living, climbed 16.5 percent since 2017, while the average salary in the San Francisco Bay Area, No. 2 on the adjusted list, jumped 13.7 percent over Indeed's 2017 numbers.
According to Indeed, job postings for data scientists as a share of all postings were up 29 percent in December 2018 compared with December 2017, while searches were only up around 14 percent. "The bargaining power in data science remains with the job seekers," Andrew Flowers, Indeed economist, stated in a press release. [...] Salaries for data scientists are up as well. Average salary in the area surrounding Houston, which topped the 2018 list when adjusted for the cost of living, climbed 16.5 percent since 2017, while the average salary in the San Francisco Bay Area, No. 2 on the adjusted list, jumped 13.7 percent over Indeed's 2017 numbers.
Training (Score:4, Insightful)
No doubt the big money will be in Data Scientist training programs.
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Re:Training (Score:5, Funny)
What makes you think the majority of data scientists have any relevant training?
Because it is so easy to do. Most of the courses are available for free on Youtube. I started watching Bayesian statistics and Tensorflow tutorials on Friday afternoon. By Monday morning, I was a data scientist.
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The demand is quite peculiar ie 'are you anal retentive enough to be completely blithely ammoral about prying into the private lives of people so that you can manipulative them in order to monetise their existence, then we have a job for you'. Now, that is the truth, that particular job is attracting the worst of the worst, in the digital arena both in terms of employers and employees, real slimey douche bag territory. Not all there are all sorts of valid data analysis problems but everyone knows thanks to
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Data Science is not just mining social network data. It applies to any data.
The data science I am in contact with is all about publishing papers and little about monetizing anything.
And this is stuff being done for ages, except that this is a new umbrella term since there are a common set of algorithms and technologies that everyone finds useful.
If the lack of morals was the main requirement (Score:2)
Being a Data Scientist means math. Lots and lots of math. Really hard math like the kind very few people can do. Now, if you fully supported students you'd probably have plenty of them. But that means taxes for the wealthy, and we can't have that. After all, a 70% marginal tax rate means a guy making $10/hr only keeps $3 a day, right? So we'll import H1-Bs. Lots of them, and you'll pay out of pocket for your kid's college or go into de
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It is just "Quants" 2.0. Another bubble that will eventually burst. Try reading about the guy behind Khan Academy for example.
Re:Fancy words for statisticians (Score:5, Funny)
We did it? You are not a troll, you are an Agitation Engineer.
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Really statistician programmers (Score:2)
True, it really means "people who know statistics".
But more than that, it also means people who know statistics but also how to work with numerical computations that deal with statistics.. stat understanding alone is far from the whole story.
I would say it's probably more like a very specialized programming knowledge, than a statistician. And that is why supply is short, because the supply of people who know something like R well is smaller than people who have a good understanding of statistics... it also
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I thought it just meant "marketing".
Of course, you've gotta respect the sales skills of a bunch of marketing wizards rebranding themselves as "data scientists".
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> supply of people who know something like R well is smaller than people who have a good understanding of statistics
Learning R is trivial. There are no difficult concepts at all. It is just a matter of getting used to it.
Learning to think statistically isn't. Not everyone is even built for probabilistic thinking.
Mathematical skills are always at a premium over coding skills.
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Actually it is not. I graduate a PhD student that does data science.
When looking for job he realized that "data scientist" essentially means anything from "I need someone to key some form on the computer" to "I need someone to develop new machine learning model", going through "I need an engineer to set up a data lake", and including "I need an excel guru to prototype models and do some regressions".
Salaries naturally range from barely-more-than-minimum-wage to six-digit-salaries.
And the mess is not going t
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If your hiring a PhD student to design a data lake your in a world of hurt.
$50,000 (Score:1)
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Can you make more than $50,000? Asking for a friend...
Error 501 - Not implemented - No data scientists could be found to answer that question.
Yeah, they're all too busy making more than $50,000.
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A clear reference to AGW officianados
Real scientist don't need no spelling either. The meaning of their theories should be obvious from the context.
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Demand is not quite high enough yet it seems (Score:1)
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Stop making shit up. Nobody with a degree from 1987 has their graduation date on their resume.
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Just interviewed two dudes from this era, both of whom had graduation dates on their resume. One of them had been continually improving his skills and will get an offer (although we probably won't be able to afford him...), another one had spent most of his time having lackeys do the heavy lifting, and won't get an offer because he hasn't stayed up to date and is now scrambling to catch up.
Ageism is real, I'm sure, but there are also a lot of people that get complacent and expect to keep getting paid even w
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A hopeful sign (Score:1)
Companies are accumulating massive amounts of data but don't have anyone to tell them what it means. Maybe this will one day result in someone asking why they accumulate the data in the first place.
Re: Meh. Fake News. (Score:1)
You also need 15 years experience working in a data scientist position, silly.