Slashdot Mirror
Data Science is America's Hottest Job (bloomberg.com)
Anonymous readers share a report: It turns out that even in the wake of Facebook's privacy scandal and other big-data blunders, finding people who can turn social-media clicks and user-posted photos into monetizable binary code is among the biggest challenges facing U.S. industry. People with data science bona fides are among the most sought-after professionals in business, with some data science Ph.Ds commanding as much as $300,000 or more from consulting firms.
Job postings for data scientists rose 75 percent from January 2015 to January 2018 at Indeed.com, while job searches for data scientist roles rose 65 percent. A growing specialty is "sentiment analysis," or finding a way to quantify how many tweets are trashing your company or praising it. A typical data scientist job pays about $119,000 at the midpoint of salaries and rises to $168,000 at the 95th percentile, according to staffing agency Robert Half Technology.
Job postings for data scientists rose 75 percent from January 2015 to January 2018 at Indeed.com, while job searches for data scientist roles rose 65 percent. A growing specialty is "sentiment analysis," or finding a way to quantify how many tweets are trashing your company or praising it. A typical data scientist job pays about $119,000 at the midpoint of salaries and rises to $168,000 at the 95th percentile, according to staffing agency Robert Half Technology.
On a SQL based server if you do a left inner or and outer join on an other table, you can use logic to connect two data elements together.
Quite honestly that is all that I see Data Scientist consultants do. Then they make a graph of the data and get paid big bucks. Vs. our poor schlubs who are not called Data Scientists who do the same thing, and get yelled at for asking the same questions.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
So making $1M+ as an AI researcher is old hat now?
And I get paid to post on Slashdot all day.
I thought AI was America's Hottest Job. So confusing, all these jobs that are simultaneously hottest.
...with some data science Ph.Ds commanding as much as $300,000 or more from consulting firms.
And then people extrapolate and sign up for that Data Science Certificate at $400 a pop and expect to walk into a job - and that's how those things are marketed to people.
*cough*Coursera*cough*
Those certs mean nothing and are a waste of money. Don't get me wrong, I took those classes before Coursera started this whole "you must $ign up for the cert program$ to take quize$ and get grade$" and found them interesting and I learned the very basics that allowed me to at least follow along in conversations - but that's about it.
It never a waste to learn something new, but it is a waste to spend hard earned money expecting something more in terms of income or job opportunities.
I got a degree in Social Justice and all I got was this lousy job.
-msmash-
Web Master was the hottest job 20 years ago. Right up until every realized that the position was better filled via a mix traditional IT techs and software engineers.
Data science will go the same way, but it will be software engineers and statisticians that replace the current crop of bootcamp trained data "scientists". (actually, all real data science shops already do it that way... the market will correct)
finding people who can turn social-media clicks and user-posted photos into monetizable binary code
I'm immobile because I can't figure out which part of that to gnaw to shreds first.
Comment removed based on user account deletion
" People with data science bona fides are among the most (sought-after) hated professionals in business, "
A.I. positions demand a much better salary, it is a much hotter field.
and i don't know what the fuck is going on
They sit right next to the social media consultants.
Shame it's not legal to wrap them in barbed wire and shoot them into the sun - which is the only adequate treatment I can think of.
We suffer more in our imagination than in reality. - Seneca
"as much as $300,000 or more"
It is literally impossible to be more ambiguous.
Posit hypothesis
Run experiment to validate or reject hypothesis
So it seems that we now need data scientists to do things with data that were supposed to be done by OLAP systems, i.e. find correlations between dimensions that were not supposed to be trivial? Data mining?
https://flatironschool.com/pro...
Unfortunately science has very little to do with it. Anomaly hunting and survivorship bias are rampant and many people seem to be completely unaware of just how biased the data and the conclusions they draw from it are.
Am I the only one who sees some slight similarities to the First Dotcom Bubble? Obviously data analysis is a very useful skill to have, but I think it's going to get to the point where anyone running a sanitized data set through an R or Python package will be a Data Scientist. We've already got the AI, Blockchain and Data Science bootcamps cranking people out now! In fact, I thought I read the other day that some survey proclaimed AI as the hottest job.
I think this bubble is going to last a very long time and take much longer to fully inflate. If you've been paying attention, it's only the monumentally stupid VC startups that are failing so far...everything else is kicking along. You have hundreds of copycat "product box" subscription services, data-mining apps built on top of social media APIs, "Uber for X," "Tinder for Y", etc. IMO, cloud computing is one of the reasons they can stick around much longer. These startups just have to make enough to pay the AWS/Azure/GCP bill every month, rent a small office (maybe,) and pay a bunch of MacBook toting hipster full stack developers and the executive crew...not build out a million-dollar data center every couple years.
Which consists of: ' . . . among milennials.', who very famously are incapable of actual critical thought and chase red herring after red herring. Good luck with that, kids.
Nice try asshole.
Since Tardchris's ability to post is limited to a handful of posts a day he tries to redirect any discussion about him getting the fuck off slashdot to as many threads as possible.
This is to allow him to both argue with people telling him to leave, and post monetized spam links to amazon or any of his other unproductive money making schemes across multiple threads increasing the visibility of his spam.
Quick Tardchris Intro:
If this doesn't make sense to you because it seems like a waste of time to try and make money this way. You're right!
Yeah tardchris has a long history of unproductive investments and projects. He hasn't even cleared his first bankruptcy off his credit report and he's already carrying a credit card balance while investing in silver, CD ladders, and other laughably stupid investments that are failing to beat inflation let alone offset the costs of not paying off a credit card balance. Nearly every time tardchris has talked about money it's been laughably bad advice. Somehow you can tell he has spent a lot of time reading about this shit, he proudly peppers his posts with buzzwords and yet somehow never learned the basics.
You know what he did right after his bankruptcy? Started rebuilding his savings... ok great idea.
He rebuilt it half in cash and half in silver. He still owns this silver and regularly brags about it on slashdot, he vlogs about it, he blogs about it... he's quite pleased with himself.
In the time since then and now silver has halved in value and an unmanaged DJI ETF would have nearly doubled.
Still he is quite proud of himself.
How much of this apparent growth is relabeling of positions?