Data Science-A Career Growing at the Speed of Light

Data Science

All of us are looking for a bright future, but you need to choose to make it possible. Research is always necessary before you decide on a career. Career is a part of your future endeavors because it provides you with an occupation that lays the foundation for a successful personal life.

After reading this article, you won’t have to go to any other site for a second opinion because we tell you a secret ingredient for shaping your future career, which is to be a Data Scientist.

A career as a data scientist is flourishing each day with its increasing demand. At the moment, a data scientist career has made its way to the list of best jobs for 2020. Let’s find out how! 

Do Data Scientists Have a High-Paying Income?

Becoming a data scientist is not an overnight experience. It requires knowledge of programming languages and computer systems, including an in-depth understanding of computer technology. So, to become a data scientist, you need to have a solid grasp of these things, and your interest in them matters.

Undoubtedly, it is a great time to become a data scientist because of the increasing demand due to the Covid-19 obstacles.

Home-based jobs are preferred considering the global pandemic, and that is where a data scientist’s position comes into play. In 2019, the Glassdoor job site also ranked data scientist jobs as the best job in the U.S. Even before that; data scientist job has been on top for four consecutive years on the same site.

Not only this, the LinkedIn study report showed that data scientist jobs had gotten a rapid increase in demand. Industries worldwide need data scientists, and this demand does not appear to be changing anytime soon, says The U.S. Bureau of Labor Statistics (BLS).

Data Scientist-Is It a Worth Pursuing Profession?

A very frequently asked question, and the answer is very evident. A data scientist’s worth has come to a situation where it is off the chart. The salary of a Data scientist has a median of $139,840, which can surmount in different regions of the world. 

Looking closely into the picture, you will find out that an experienced data scientist can earn up to $1,65,000. In fact, during the lockdown, the data scientist has gained more scope and worldwide recognition. 

Career Opportunities for a Data Scientist

In virtually every job market, not just in technology, data science experts are in high demand. Half a percent of U.S. employees work in the five largest tech firms, Google, Amazon, Apple, Microsoft, and Facebook. However, advanced education is generally required to break into these high-paying, in-demand positions. 

In almost every area, from government protection to dating apps, data science experts are required. To thrive and better represent their clients, millions of companies and government agencies depend on big data.

Types of Data Scientist Job

Although a data scientist offers multiple types, we have examined the three major ones.

1. The Data Analyst

Data scientists are much more technical in contrast to data analysts. A data analyst is a specialist who deals with data to provide insights on it. A data analyst may use SQL skills to retrieve information from a company database, use programming skills to analyze that information, and then use communication skills to disclose their findings to a broader audience.

2. Machine Learning Engineer

Learning programming languages and algorithms used in machines are all in the category of machine learning engineer. Machine learning engineers build self-running applications to automate predictive models.

3. The Data Engineer

The data professionals who plan the “big data” system to be analyzed by data scientists are data engineers. They are software engineers who design, build, incorporate, and manage big data from different resources.

To wrap it all up and summarize all the above thoughts, we believe that a career is a one-time decision, so it has to be a choice that has all your engrossment. As a computer student, I have seen people growing through becoming data scientists. Although it requires effort mentally and physically, things will become handy once you have made up your mind.