A short check on Google reveals that the term “sexiest job in the 21st century” was originally used to describe the field of data science quite some time ago, in the year 2012. Almost immediately, the demand for data scientists surpassed the supply, which resulted in the field becoming an extremely sought-after skill. This was due to the fact that businesses were looking for individuals who possessed a combination of analyst, hacker, storyteller, and advisor qualifications. With the advent of new digital services like Netflix and Spotify, as well as the expansion of smart technology by major corporations like Google, Facebook, Apple, and Amazon, the field of data science began to experience a surge in popularity. This was due to the fact that businesses began to recognize the potential of machine learning, natural language processing, and artificial intelligence. The function of a data scientist has expanded far beyond the conventional aspects of coding, which are often considered to be synonymous with data. These technologies, which are applied by data scientists, are seen by organizations as a “sexy” approach to create an outstanding customer experience, raise profitability, or improve efficiency, which has led to the virtually pedestalized position that it now has. However, why is a job in data science so appealing to someone who is interested in becoming a data scientist? To begin, the outputs that data scientists develop are constructed with the intention of directly assisting individuals. Almost everything that pertains to artificially intelligent solutions is designed with the end user in mind, with the goal of making their lives easier and more straightforward. Amazon Alexa, automated customer support, telematics on your car, and Netflix’s recommendation of a television program are all examples of technologies that ultimately have the same overarching objective. The data scientist will find this to be a very motivating factor. There is more to data science than merely coding and algorithmic processes. Because there are so many various aspects to a data science team, there is an incredible lot of room for advancement in terms of career opportunities. A data scientist, data engineer, data modeller, data analyst, or even one of the more recent jobs such as data artist or data evangelist might be included in a team that takes a comprehensive approach to data management. Taking all of this into consideration, the potential for personal development is almost limitless in this day and age, when big data is constantly evolving. There are a variety of positions that fall under the umbrella of data science, but it is also growing more popular in practically every business. Generally speaking, if someone works in the healthcare or financial services area, they will remain in that field for the rest of their lives since it is what they are familiar with. A data scientist just has to be supplied with data and a problem to answer; they do not necessarily need to know all there is to know about a certain profession. Data is a completely distinct field, and the abilities that are required for one function may be more readily transferred to another one. It has been projected by the McKinsey Global Institute that the United States is experiencing a shortage of about 200,000 data scientists, which indicates that there is a significant potential for employment. Having the ability to create a narrative using data is one of the parts of working in data science that I like the most. In contrast to what a management information team would have done ten years ago, it is not enough to just offer numbers; rather, it is necessary to demonstrate insightful behavior and analysis. Data science will tell us why we sold twenty pairs of shoes yesterday, and the benefits of doing this right are incredibly exciting and fulfilling. The data will tell us that we sold twenty pairs of shoes yesterday. What is it about the field of data science that makes it the most desirable occupation in the 21st century? What is not sexy about a career that is not only interesting and gratifying but also offers a significant amount of room for growth and is regarded in very high respect by those who are in positions of authority in the corporate world? At this point in time, I can only anticipate development in the field of data science, and the current moment is the ideal time to begin creating a career in this area. As an additional point of interest, we are in the process of developing an online careers portal called datasciencejobs. This portal is intended for individuals who are either interested in working in the field of big data or who are already employed in the field and are looking for careers that are specifically related to the fields of data science, machine learning, deep learning, data analytics, big data, and statistics. Please send an email to info@datasciencecareer.co.uk if you would like to be included to our email list in order to get information about employment possibilities and other relevant updates.
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