This problem will fade away as industries will create job roles that are specified only to the specific data roles. This is because currently both SQL operators and Data Scientists come under the same general definition of data science. The job role of a data scientist, therefore, suffers from this lack of representation. Currently data science is an uncharted territory that is often misrepresented by various industries. There will also be a diversification of roles in data science over the next decade. Furthermore, a cleaner set of rules and regulations will differentiate pure data scientists from others. Deeper career paths will be developed in data science. There will be a concise definition that will be imparted to data science that will enable the data scientists to handle corresponding operations. However, with the passage of time, the data science roles will become more concretized. It is a general term that has several definitions. Bureau of Labor Statistics.ĭata Science is rather an unrefined and crude term. About 11.5 Million jobs will be created by 2026 according to U.S. More and more industries are becoming data hungry and they need data to hold specialized data scientists who can craft products for the customers. The demand for data scientists will rise by 28% by 2020 alone. It is unimaginable to realize the amount of data that will be generated in the next decade. It is a staggering fact that over 90% of the data in the world was generated in just 2 years.
Join DataFlair on Telegram!! Data Science over the next few Decadesĭata Science is predicted to grow over the next decade. Stay updated with latest technology trends Moreover, the financial and insurance industries are becoming major players for recruiting data scientists.Īs more and more institutes are growing to train data scientists, it is expected that data literacy will become abundant in the world. Some of the positions in data science such as data engineer, data science manager & big data architect. The number of roles and data scientists will only increase in the future. This is supplemented by the increase in data and its various types. This is resulted by the emergence of newer job roles and industries. The requirement for the number of data scientists is growing at an exponential rate. This figure is 5 days more than the ones in a regular job market.įor bridging this skill gap, IBM will align educational institutes with industries to create a work-study environment for burgeoning data scientists. It is also analyzed that the data science openings are open for 45 days. This position will remain unchanged in the future. This demand will only grow further to an astonishing 700,000 openings.Īccording to Glassdoor, Data Scientist is the number one job on its website. According to IBM, an increment by 364,000 to 2,720,000 openings will be generated in the year 2020. There will be a sharp increase in demand for data scientists by 2022. So, let’s start – Data Scientists Job Trends in 2022 We will see how data science will expand over these date stamps and what the future holds for a data scientist. We will take three years in this article, 2020, 20 which is over the next decade. The demand for data scientists is only increasing and will continue to increase in the future. I will give a complete idea for Data Science job trends for the year 2020 with the proper research and facts. So, today I came up with the new information for the future of data science. Many IT professionals and academicians who have worked in quantitative fields want to become data scientists.ĭo you know scope of data science field over the next few decades? I am sure, you have no answer for this.
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Free Machine Learning course with 50+ real-time projects Start Now!!ĭata Scientist – The sexiest job of the 21st century. With the surge in data and its correlated fields, the job of a Data Scientist has become the most sought after job.
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