Data Scientist: The Hottest Job Title of the 21st Century

Everything in the modern world is a data factory from individuals to machines. Mining – gold, iron, and other metals – dominated the 1800s. Drilling for oil, natural gas, and shale oil dominated the 1900s. The 2000s are also dominated by mining, but this time, a new type – data mining. The technology and procedures of refining are just as significant as the ore/crude itself in the case of metals or oil. We can’t utilize ore or crude in its natural state. It has significantly less utility and worth without refinement. So, setting up these procedures, methodologies, and infrastructure takes a significant amount of money. Similarly, the process and methods for extracting actionable insights from data also require a significant amount of effort and study.
Enterprises all over the world have recognized the potential of these data mines, and the technology to properly mine and utilize them is improving by the day. They are developing proprietary algorithms to trawl through this data for trends, patterns, and hidden nuances. The surge in the generation and consumption of data has resulted in an exponential increase in the demand for Data Scientists all around the globe.
Data Scientists are computer professionals who specialize in gathering, structuring, storing, managing, and analysing data as a valuable resource for businesses to make data-driven decisions. These skills are in great demand in a number of profitable sectors as its being used by businesses to improve marketing tactics, productivity, and income. Even after four years of operation, the world’s largest professional network — LinkedIn — resembled a start-up in 2006. The corporation had around 8 million accounts at the time. Members were not trying to expand their networks beyond their relatives and family, despite the fact that the number of users was constantly increasing. The missing connection was discovered by a team of data scientists, who produced features such as ‘people you may know, ‘people who viewed’, and ‘who’s viewed your profile and LinkedIn’s development trajectory has been widely discussed since then. It now has over 722 million members in over 200 nations and territories throughout
the world.
The uprising Artificial intelligence is one of the biggest dangers affecting data scientists. These technologies aid in work automation, perhaps reducing the demand for human data scientists in the future. However, it is not accurate to argue that AI will completely replace data science. Data science and AI combined have revolutionized decision-making largely but Human intellect is required to alter algorithms and remedy machine faults. Therefore, data scientists are unlikely to be replaced by AI anytime soon.
It is more appropriate to think of AI as a discipline of data science that complements it and that AI technologies will likely only assist data scientists in their duties for the foreseeable future. The skillset of a data scientist will never become obsolete.

Article Writer
Course:- B.Sc. in Data Science


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