But who are the new ninjas?
"growth hackers", whatever that means
"Did some growth hacking on the hedge funds, bagged it, 100% organic product..."
21–30 of 31 posts
Bullshit. "Big Data" and "Data Scientist" are the latest buzzwords like Web 2.0 and Java were during their ORA hype-r eras. There is a lot more data. There are a lot more tools and technology to deal with data. There is a need for high quality people that understand how to handle data. But there are no rockstars, there are people that have passion and spent years learning and teaching their craft. But they aren't roc…
My main objection to it is that this rebranding of statistics (and machine learning I suppose) obscures the deep political connection statistics has[1] and in so doing obscures the fact it's going to have major political ramifications across this century. Happy clappy summer of code donations from Google to EFF or the Sunlight Foundation are entirely not proportional to the extremely high level of abuse that could po…
If anyone from the site reading this, didn't work on my nexus galaxy. A dumb share popover took up the whole screen and didn't scroll away.
How do you call the phenomenon that leads statisticians to rename themselves "data scientists"? I propose the Freud-inspired "science envy".
I've spent bits of my career working with fairly large data sets at one time or another, and providing discovery, insight and analytic tools into that data, but very little of it seems to have anything remotely to do with what the job descriptions for "Data Scientist" are asking for.
Consider this, building a very large graph of the internet, then using various models on that graph to find unique and actionable insights: such as finding routing bottlenecks for a video delivery service, involves lots of data, lots of scientific like exploration, yet isn't a "data scientist" job by the job reqs.
How about this, building a text parser that can finely categorize and make recommendations for a research organization based on millions of grant proposals, all categorized into various "mission silos" that research organization is built around. Not a "data scientist" job.
Analyze multi-lingual news stories to build a real-time alert system for conflict analysts. Not a "data scientist" job.
Building a tool that can scan multi-spectral aerial imagery and automatically extrapolate man-made structures from natural, catalog all of the different vehicle makes and models, and generate a predictive model of commuting patterns, or make recommendations for housing development based on perceived socio-economic conditions? Not a data-scientist job.
Collecting information on who propositions who from a dating web site, normalizing the data for population and writing a report on the findings? That's a "data scientist's" job.
It's not that that kind of work isn't valuable, only that there are so many other kinds of things that involve what might intuitively be called "data science" that calling just the one discipline "data science" is doing a disservice to what should be an amazing discipline -- part Computer Scientist, Part Analyst.
This is a pretty fluffed up article that missed the wave of "data scientists are awesome" articles last year. But I think it's important to not underestimate the shift that has been happening. The race to automate tasks has always been accelerating, but it hit an inflection point a few years ago when mainstream business people realized what current technology can achieve. Pretty much every industry I've seen has been…
IMO something is accelerating/changing and we hit an inflection point. It does help to give it a denominator. It's human, not just marketing. I'm sure one time people thought compsci and software engineering were redundant or pretentious. I'm still ambivalent about the name data scientist.
Earlier quoted context omitted.
Slippery slope though. We might need to throw in ninja, craftsman, hipster, and guru while we're at it, too.
that sounds like an awesome slope to slip down on. let's get rid of all of those ridiculous terms. how about we just use the oh so boring "professional" instead? i want respect from society for my work, not a cute pet title co-opted from other industries, where they can use these terms with a straight face and without rolled eyes from the audience.
Please, let the term "rock star" die.
Bullshit. "Big Data" and "Data Scientist" are the latest buzzwords like Web 2.0 and Java were during their ORA hype-r eras. There is a lot more data. There are a lot more tools and technology to deal with data. There is a need for high quality people that understand how to handle data. But there are no rockstars, there are people that have passion and spent years learning and teaching their craft. But they aren't roc…