How to Become a Data Scientist in 2022 The role of a Data Scientist is one of the hottest jobs in the world and reported as the most demanded job in both the UK and the US. According to the Emerging Job Report by LinkedIn in 2020, the data scientist job role has risen to 3rd position in the US with an added benefit of 37% annual growth and 7th position in the UK. With in-depth knowledge in multiple domains, programming skills, mathematical abilities, computer knowledge, and other data science skills, data scientists possess the versatility and ability to work across industries and act as a catalyst in making critical business decisions. Out of the list consolidated by Glassdoor, for the 50 best jobs in the US, the Data Scientist role is listed as the second most in-demand job. On the contrary, the data reports from IT Jobs Watch stated that there was a slight dip in the data science job roles posted in both the UK, falling from 3162 roles in 2020 to 2273 in 2021, and roles appearing flat in 2019-’20 in the US. However, this was an outcome of the COVID-19 onset. While on the other hand, another report showed that businesses said they experienced a shortage of more than 250,000 data science professionals, proving that there is a proven demand for people with the right skillset. This is why Data science is tagged as the most sought-after job worldwide, and data science professionals are behind developing required skills with reliable data science certifications.
Rising Demand of Data Science in 2022 Harvard Business Review has entitled the Data Scientist role as the sexiest job of this 21st century. The dominant characteristics of data scientists that outweigh other jobs are persistent curiosity and the continuous desire to solve a particular set of problems affecting any business. 2022 is going to witness more revolutionary changes in data-driven business decision-making. The proliferation of analytics leveraged cloud-based solutions like Google Analytics, Data visualization tools like Tableau, and programming languages to solve complicated problems like R, Python, etc. All the popular and large enterprises around the globe are driven by the power of Data Science. For instance, have a look at Google, Facebook, or Amazon. They utilize the data science to generate algorithms that boost customer satisfaction and help businesses to increase their profits through product recommendations, web page ranking, targeted ads, and other useful data science strategies.