How Is Data Science Shaping The Future Of Employee?

Data is ruling the world. Can you imagine the success of any business without sufficient data? Well, the answer is no. In the world, where data is the bloodline for the success of any business, data science has emerged as a popular career option. As per is the reports of the U.S. Bureau of Labor Statistics, the growing demand for data science will create 11.5 million jobs by 2026. But, here, it becomes important to mention that it is a growing demand for data scientists, but, there are not enough qualified data scientists. In such a case pursuing a data science course from institutes or platforms that provide state of the art knowledge will help in gaining professional success. Global Tech Council is a renowned name that provides a certification course in Data Science. 

There is a vast scope of growth for a certified data scientist. Coming to the job segment, then data science experts have job scope in companies like Amazon, Google, Microsoft, Apple, Facebook and many other startups which are exclusively offering data science services. You must know that data scientists are highly qualified; 88 % of them have a master’s degree. So, having a strong knowledge base is imperative. Here will be exploring a few of the options: 

Business Intelligence (BI) Developer:

Job Requirements: Business Intelligence developers are responsible for developing strategies that will help in the growth of the business. Their objective is to suggest strategies that will help in the growth of the company. They make use of BI tools or develop BI analytics application that helps the end-user to developer a better understanding of the system. Some of the companies working in this domain are DollarShave Club, Liberty Manual, Discover. 

Data Architect

Job Requirements: They need to ensure that the data solution is performance-driven. They are also responsible for the development of design analytics for different platforms. Some of the prominent companies working in this division are AAA Club Alliance, T-Mobile, IBM, etc. 

Applications Architect

Job Requirements: They are involved in the development of applications and tracking the behavior of the same. Some of the names that require such experts are Oracle, UPS, Dow Jones, etc. 

Data Scientist

Job Requirements: The data that is available with companies is raw, and it needs processing and analysis. Here comes the role of data scientists. As evident from the name, they are responsible for working on data using special analytical tools that will eventually help in deriving the right inferences. Based on the inferences, they whelp in formulating strategies that eventually help in the growth of the business. Some of the names working in this field are Capital One, Airbnb, Facebook, etc. 

Data Analyst

Job Requirements: Their work is to transform the data sets into a suit which is required for analysis. Some of the companies also employ data analysts for web analytics, analyzing A/B testing. Some of the prominent names in this field are Kholer, Bank of America Gap.