A Quote by Harper Reed

'Data scientist,' as a profession, is largely a fad. — © Harper Reed
'Data scientist,' as a profession, is largely a fad.
Companies are getting bitten by hiring a data scientist who isn't really a data scientist.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
If you're a scientist, and you have to have an answer, even in the absence of data, you're not going to be a good scientist.
While hard data may inform the intellect, it is largely soft data that generates wisdom.
A scientist works largely by intuition. Given enough experience, a scientist examining a problem can leap to an intuition as to what the solution 'should look like.' ... Science is ultimately based on insight, not logic.
A scientist naturally and inevitably ... mulls over the data and guesses at a solution. He proceeds to testing of the guess by new data-predicting the consequences of the guess and then dispassionately inquiring whether or not the predictions are verified.
We are now at a point in time when the ability to receive, utilize, store, transform and transmit data - the lowest cognitive form - has expanded literally beyond comprehension. Understanding and wisdom are largely forgotten as we struggle under an avalanche of data and information.
One scientist will interpret data one way, another in another way. One scientist may feel that an experiment is valid, another feels it's invalid. That's why scientists have discussions and put forward their opinions in conferences and papers.
Take the situation of a scientist solving a problem, where he has certain data, which call for certain responses. Some of this set of data call for his applying such and such a law, while others call for another law.
The job of the data scientist is to ask the right questions.
As a scientist, you're not supposed to make decisions without the data.
In fad standard time, a day is a month, and a fad that lasts two months is a classic.
If I could relive my life, what I would do is work with scientists. But not one scientist, because they're locked into their little specializations. I'd go from scientist to scientist to scientist, like a bee goes from flower to flower.
Data scientist is just a sexed up word for statistician.
Engineering, I think you can pick up. [A data scientist's] curiosity is built-in
Though the world does not change with a change of paradigm, the scientist afterward works in a different world... I am convinced that we must learn to make sense of statements that at least resemble these. What occurs during a scientific revolution is not fully reducible to a re-interpretation of individual and stable data. In the first place, the data are not unequivocally stable.
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