Top Reasons Why Data Science Jobs Are In Demand

Do you like to code or do you like to play with algorithms? If yes, then get ready to enter the world of data science. The demand for data scientist is increasing enormously. Since, they are required in all sectors whether it is healthcare, manufacturing, retail, education or IT. There are thousands of data science jobs available in India as well as in USA.

So today in this article we will explore the top reasons of why data science jobs are in demand. Before that let’s quickly understand that why data science plays a vital role?

With the dawn of new technologies like Machine Learning, Artificial Intelligence and many more, data has become very crucial for every business. With the help of data, businesses can make informed decisions. Since the scope of data has shown an upward trend therefore the field of data science has flourished. Data science includes data collection, manipulation, analysis, organizing and management of data which is carried out with an intention to find out the patterns and to make logical inferences which eventually leads to better business decisions. Data scientists are enjoying searing hot demand across many sectors as they are required almost everywhere. Data scientist helps in finding insights and in taking significant business decisions. Data scientist uses skills like mathematics, statistics and programming for logically arranging the huge data set and post which they successfully find out the solution which aids in achieving business goals. Hence, data science is of key importance in different sectors.

The demand for data science professionals has increased tremendously which has led to increase in the number of job openings. As per a survey, more than 50,000 job opportunities are available in India itself. Hence, it is recommended that IT professionals who want to stay relevant and who want to accelerate their career must upgrade their skills in the field of data science.

1. Data Organization is a Big Challenge for Businesses: Data is one of the main components of every company however organizing the data properly is the biggest task. In the early 2000s when the IT industry was successful, organizations decided to completely move their business operations from offline into automated computer system. Thus, substantial reliable electronic content was created, transactional data was generated and huge amount of data was produced. Hence, essential information is stored in the form of data in ample of organizations. The organization gets the benefit if the data is identified correctly but the question arises how this can be done? So that’s where data scientist plays a vital role.

2. Expectional Skills of Data Scientist: As per Harvard Business Review, data scientist job has made up to the top job list of 21^st Data Scientists are very much welcomed in big enterprises like Google, Amazon, and Facebook etc… The job role of data scientist is not only interesting but also very challenging as they are accountable for different job roles and responsibilities which are dynamic in nature. They get the opportunities to climb up the career ladder by the nature of their own work which consist of various logical and analytical abilities in different areas like ML, Big Data etc….Data scientist have an X-Factor because they possess in-depth knowledge.

3. Less Availability of Resources with Right Skill Set: As per a recent survey, in the coming times there will be shortage of data scientist professionals which will be of two types i.e. one will be of data scientist who perform analytics and another one will be of analytics consultant who are accountable for utilizing and comprehending. Particularly in India, the demand for data scientist is more. Thought sufficient tools and technologies exist yet what lacks is the pool of talented people. Hence, the demand is more but there is huge shortage of data scientist professionals.

4. High Compensation: Data Scientist jobs are one of the very well-paid jobs. A candidate who brings in a good amount of experience along with exceptional analytical skills can make more than 20 lakhs p.a. in India.  Because of the skill gap, companies are even ready to pay up to 30 to 50% more than the other technical roles.

5. Democratization of Data Scientist: The requirement of data scientist is not restricted to technical giants only. Organizations whose decisions are driven by data are not only more productive but are also making more money. Hence, irrespective of the size companies are shifting towards data science. There are many startups that are ready to pay lucrative salary to data scientist even at an entry level.

6. Less Entry Barricades: Professionals from different backgrounds can enter into data science field. Usually data scientists are from the fields such as mathematics, statistics, computer science, natural science and engineering disciplines. There are data scientists who possess degree in other areas as well like economics, social science and business. They are good in managing issues and have problem solving attitude. They continuously keep on updating themselves by taking up online courses.

7. Increased Applications of Data Science: Data science is applicable in many industries whether it is manufacturing, healthcare, IT or banking. Data science is of great help to various industries, as it assists in identifying the errors in the tools and equipment’s. As data science is useful everywhere ample of job opportunities are available. Hence, anyone can make a career in data science irrespective of geographical employment or existing field.

Data science is growing and is very much in demand and it has a long way to go. The best part is there is no scarcity of opportunities plus it is highly paid job. So anyone who wants challenging work and bulging pocket then blindly you can go for data science field.