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Future of Data Science, Skills and Employment

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As the title suggests, if I’ve to tell you about the scope of Data Science in India as well as around the globe in one sentence, I am 100% positive. But I am no Michael Burry (He is the one who predicted the 2008 recession) so why’d you believe me. That’s why let’s take a deeper look why Data Science is the latest buzzword and why there are plentiful opportunities in the field.  Let’s explore the future of Data Science.

Future of Data Science

Not so long ago, DJ Patil and Jeff Hammerbacher—then at LinkedIn and Facebook respectively coined the term Data Scientist. For all who are completely new to Data Science, it is a field that deals with data and extracts knowledge from it to gain useful insights on product/business. Almost all business nowadays uses data-driven decisions in one way or another. And if they don’t, they will in the nearest future. Because by far this is the most efficient technique to deal with data and gain insights.

So, if you are one of that person who critically thinks what the future of Data Science is, you are in the right place. Let’s start with this. Since the Harvard Business Review gave the title of ‘the sexiest job of the 21st century’ to Data Scientist, the majority of software engineers and related people tried to adapt it to advance their career. According to Udacity, an online education system, there is a 200 percent year-over-year rise in a job search for ‘Data Scientist’ and a 50 percent year-over-year rise in a job listing for the same.

Future of Data Science

Tech Skills in Indian Developers (Source: Factor Daily)

Future of Data Science

Job openings in India for analytics profile Source:

However, with technologies like Machine Learning and Artificial Intelligence, it is really important that skilled and not-so-evil minded people work on the same otherwise there is a good chance that robots will give us a run for our money. Just a thought! What do you think? Moreover, According to HakerRank Developer Skills Survey 2018, ”Not enough talent” stands at number 3 with 41.1% in challenges while hiring candidates around the global. And, by 2020, all alone in the USA the jobs openings for data professionals will increase by 364,000 openings to 2,720,000 according to IBM. I just gave you insights from opening for jobs to not enough talent for data professionals, don’t you think that’s a good reason to start with? Future Scope of Data Science is high and believe me or not, it is going to stay here for a while. Apart from that, Data Scientist tops the list of ‘Best jobs in the USA’ in an annual survey conducted by Glassdoor, an online portal for job hunting, for consecutive 3 years.

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If we talk about India in particular, according to a recent Indian jobs study, Data Science is topmost and fastest growing field in India and the relevance of it is increasing in almost every sector. As you can see, analytics jobs in India saw an increment of 200 percent in April 2016 to April 207, compared to 52 percent from April 2015 to April 2016 and 40 percent from April 2014 to April 2015.

Future of Data Science

Percentage of Analytics Jobs by Industry (Source:

Whenever we find a suitable career for ourselves, what are the primary things that we look for? First is the salary of course. We all have to pay bills. Second for me is a Work-Life balance. Of course, if it gives you money but if you are not enjoying nor having time for the family, what are you even doing? And for secondary, not in the highest-to-lowest order, but, Health benefits, professional growth and learning, team environment and so on. Comparing some of these with how things are in Data Science field right now will give you more insight into future of Data Science job opportunities.

Data Science Salary

As you can see, 3 out of 5 highest paying professionals are related to Data Science! Hence if the only salary is your concern, Data Science is the right path for you. In India, salaries vary from 0-3 lakhs to 1 crore plus, all based on your skills and experience.

Future of Data Science

Salaries (USA) Source: KDnuggets

Future of Data Science

Percentage of Analytics Jobs by Salaries (India)

Job Satisfaction / Work-Life Balance

Comparing all the job fields to measure work-life balance would be unfair. As Albert Einstein said, “If you judge a fish by its ability to climb a tree, it will live its whole life believing that It is stupid.” Hence here is a comparison for job satisfaction compared with the fields that fall under the title Data Science. As you can see, full filling your second requirement of work-life balance. Data Scientist tops here as well.

Future of Data Science

KDnuggets Poll: Average Job Satisfaction by Position

Now that you have the idea about Data Science future scope, here is a chart of relevant skills you might need to go ahead in this direction. Different job roles require different skills. Hence the image below summarize all for you in one picture. Aint’t it clean!

Future of Data Science

Skills required by different job roles (Source: Data Science Central)

Data Science Facts

Here are some good-to-know facts about Data Science

  1. Python has overcome all the other programming languages to become popular among Data Scientists. Actually, I am biased on this one. I too prefer python over R(for more technical discussion on the matter, go here)

    Future of Data Science

    Growth of programming languages Source: Quora

  2. Data is never clean. According to kirk Borne, principal Data Scientist at Booz Allen Hamilton, Data scientist spend 80% of their time cleaning their data. And on a funny note, they spend 20% of their remaining time to complain about preparing and cleaning data. Good one Kirk.
  3. There are two different worlds: Academia and Business. If you want to develop new theorems and approaches, academia is your way. But in business, you use the existing approaches to drive business decisions.
  4. Presentation is the key. Since no one is going to care about how to reached to your decision, you require good hands on your presentation skills. Show the only things that matters to non-technical people.
  5. All models are great indeed. But that doesn’t mean you have to use them all. Find one suitable to your data and go. You will know more about this once you dive into the field.

In a nutshell, India has done commendable contributions to the field of Statistics and is well assured to make great contributions to the field of Data Science. Regardless of how things evolve, one thing is crystal clear: Enormous amount of data will be used to drive key business decisions and skilled data scientists will be the key to unlocking the endless possibilities.

Let us know in the comments what do you think about the future of Data Science in India as well as around the globe.

Happy Learning!

Guest Blogger (Data Science) at Digital Vidya. A Data passionate who loves reading and diving deeper into the Machine Learning and Data Science arts. Always eager to learn about new research and new ways to solve problems using ML and AI.

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