Popular Data Science Job Roles in 2021 Data Science has emerged as one of the lucrative fields for aspiring professionals in the industry. While data has been called as new black, new oil, and other names, it is no surprise to learn that data has become the most important tool for businesses to stay ahead of their competitors. So, what’s new in that? Data has been driving business decisions for past decade now. Yes, it has been driving the business decisions, however, what’s new is the emergence of various new roles under the umbrella of Data Science Jobs. An Avalanche of Data Science Jobs Businesses became competitive. Digitization became the way forward and organizations realized the importance of not just data but also the significance of meaningful data that gave important insight to the business leaders to make data driven decisions. Over the last few years, with organizations opting for data-driven decision making, the jobs market saw an avalanche of variety of roles in the data science jobs. That’s a good thing, right? Maybe, but then again maybe not. There were challenges galore. Challenge: Difficulty in understanding the difference between the roles and the required skills for each of the roles. Reason: The fancy titles of these data science roles were of no help at all. Booming Data Science Jobs’ Market – The Way Forward Fortunately, for the aspiring data science professionals, the jobs market is booming and so for a better understanding of each of the numerous data science roles let’s have a detailed look into them with regards to their – • Description • Skills required • KRAs • Technology Stacks
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