Data Science a Career Option for 21st Century Job Prospect in Data Science Book Review
The Sexiest Job of the 21st Century Isn't "Sexy" Anymore
Trends are changing now and data science is losing its amuse
Are you a data scientist?
If aye. Well, then you must be feeling pretty damn "sexy".
Sexy doing the hottest job of the century. Sexy being in the highest position, Sexy of beingness considered as a most demanded person. Sexy dealing with glamorous artificial intelligence, auto learning, big data, and all. Sexy earning around $13K to $120K per twelvemonth. Sexy living your dream life while doing your so-called dream job.
Well, I hate to pause information technology to you merely yous aren't… sexy anymore.
Information technology was long back 8 years agone in 2012 when Harvard Business Review posted the article chosen "information scientist" as the sexiest job of the 21st Century.
Just that's not the case anymore.
Co-ordinate to Financial Times's recent study, "Data scientists are spending an boilerplate of 2 hours a week looking for a new job." A written report by Stack Overflow plant that 13.2 % of information scientists were looking for a new task If yous search for "data scientist" on LinkedIn, you might exist surprised to see how many of these pros have "seeking new position" headlining their profile.
The trends are changing nowadays. The demand is no longer the aforementioned every bit before and data science is losing its charm.
But if being a data scientist is considered cool or sexy then — Why the hell are people leaving information technology?
Beingness the sexiest job does not mean everything about it is hot and sexy. Many aspects of Data Science are gruesome and sometimes scary.
Here are a few reasons information science (ever considered a sexy task) is losing its charm :
#1 People Doesn't Know What Actually Is Information Scientific discipline
What is information science?
Information technology's a simple question only answers are often very confusing.
Well, if you think about this, 'data science' is not something which we can refer to as funny but due to its confusing concepts, people have made n-number of inside jokes on data science:
- Data science is eighty% data training, 20% complaining most data preparation.
- People refer to information scientists as a data analyst who lives in California or a statistician who lives in San Francisco or who is statistics on a Mac.
Hither'due south the truth…the industry doesn't work that style.
At that place are so many things to use to do a data science projection or anything shut to what we detect in online scientific discipline competitions.
"I would consider the information scientist to be a misunderstood chore," said Kate Cascaden , technical recruiter in data science. "Coding languages are sexy, information principles are interesting and intriguing, and they will absolutely impact the fashion technology is developed in the future. Only information technology is too a marketplace that is non fully understood past many organizations."
Many people recall of data science as an industry that only performs certain tasks but that is not true. A data scientist is a topic that combines many unlike tastes of piece of work.
#2 Expectation vs. Reality — Hither Lies A Wide, Wide Gap!
One of the most common issues in the information science field is the huge difference between expectation and reality. There's an e'er-widening gap between what was expected by information scientists and what work they actually exercise inside the industry.
"Big data is similar teenage sex: anybody talks about it, nobody really knows how to do it, anybody thinks everyone else is doing it, and then everyone claims they are doing information technology." — Dan Ariely
This quote is then true. Many people are urging yous to get into the science of information because it'south all about solving complex problems with new learning algorithms that make a huge affect on a business concern. They remember that being a data scientist is sexy and information technology volition make them look cooler.
Only that'south not the case. It's not what it looks like.
The fact that people don't really know exactly what information science is, leads them to make dissimilar expectations from the manufacture and when they enter the industry. Smash!! Boom!! And simply like that, all their expectations are crushed.
And because people's expectation isn't equal to the reality that's the main reason why so many information scientists exit.
#3 Lack of Upskilling for Data Science Professionals
"There is a maxim, 'A jack of all trades and a master of none.' When it comes to being a data scientist you lot demand to exist a bit like this, but perhaps a better maxim would be, 'A jack of all trades and a master of some.'" ― Brendan Tierney
Nosotros all dearest new challenges, don't we?
Many would disagree with the fact that the field of data science is ripe for these challenges given the rapid footstep of evolution.
Considering technology is rapidly evolving, the necessity for a company to rent a knowledge scientist is additionally evolving. With the increasing need for emerging technologies, businesses are trying to observe data scientists to be skilled with new-age technologies instead of older programming languages like R, Ada, C, Haskell, etc.
Currently, companies are searching for newer skills like data visualization, machine learning, to call some, to form a more informed decision during this competitive landscape. Data scientists now need to know advanced mathematical tools and methods for calculating and integrating large data sets.
And so, as the skills requirements are increasing, it's becoming very difficult for people to get into this field, which, in turn, creates a shortage inside the market.
There is a lot of scope in this field merely the lack of people with actual skills needed is snatching the title of the 'well-nigh promising chore' and 'sexiest job' and many people are walking abroad from it.
#4 You lot Tin can't Simulated 'Sexy'
Many might argue with the fact that you can't fake 'sexy'.
Either you lot are or you aren't — you have information technology, or yous don't.
And fifty-fifty if some organizations don't exactly know how to best tap the talent of their data scientists, only if those professionals are the "real bargain," that appeal tin't be denied.
"Information scientist is still the sexiest chore of the 21st Century," insisted Crawford. "The professionals in this field are admittedly amazing and extremely intelligent. In what other fields can you exist part detective, office innovator, and, depending on who you piece of work for, part international spy."
The role of a data scientist has inverse dramatically which in turn affected the whole industry and its people. A lot of companies misrepresent 'data science' when they really are looking for is data analysts, data engineers, or business intelligence, analysts.
"Many companies demand to stop looking for a unicorn and start building a data science team", says the CEO of data applications firm Lattice.
#5 People Aren't Willing To Wait
The information scientist is a task that requires a lot of hard work, consistent efforts, persistence, and virtually importantly patience.
PATIENCE…and that's where the main problem arises.
Our generation lack patience skills, they need everything according to their expected timeline, they need results immediately without doing the bodily hard piece of work. It'southward like they want a pizza without putting any effort to order or without having the patience to wait for its delivery.
And that can't happen.
If they desire a pizza and so they gotta put an attempt to brand a phone phone call to order it and they gotta have to await for it to be delivered.
It requires both: Hardwork+Patience.
There is so much to learn and no one is willing to do the hard work. It is very difficult for anyone to start with basics and excel in this field. This requires consequent efforts over time and people aren't patient.
And so, should we withal be calling the information scientist the sexiest chore out in that location?
"I would say 'yes,' but it depends on how and why you lot are using information technology," said information scientific discipline recruiter, Frazer Spackman, at Huxley Associates. "If yous are working for a business where information science is integral to the business concern product, vision, and success, then this statement is true. Simply a lot of companies are misrepresenting 'data scientific discipline' when actually they are looking for information analysts, data engineers, or business intelligence analysts, in which instance, the statement higher up doesn't apply."
Source: https://medium.datadriveninvestor.com/the-sexiest-job-of-the-21st-century-isnt-sexy-anymore-fd5335a5d4d4
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