Career Opportunities in Data Science

Did you know, For four years in a row, Data science has been the number one job worldwide by Glassdoor? The U.S. Bureau of Labor Statistics reports that the demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026. Not only is there a huge demand, but there is also a noticeable shortage of qualified data scientists. According to LinkedIn, careers in data science are witnessing a growth of 35% annual growth rate. The demand is set to increase in the future and there are going to be booming careers in Data Science. 

But before diving deep into the career prospects and growth In data science, let us have an idea about data science.

What is Data Science?

Data Science is usually a set of skills for collecting, shaping, storing, managing, and analyzing data to allow for data-driven decision-making. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful.

Data Science benefits both companies and consumers. It has critical applications across most industries. For example, data is used by farmers for efficient food growth and delivery, by food suppliers to cut down on food waste, and by nonprofit organizations to boost fundraising efforts and predict funding needs.

Careers in Data Science

This year, there was a record number of hires of Data scientists and Data Analyst positions as businesses realized that data-driven market intelligence was the primary driver of success in the digital business world. Thanks to the mass online migration of global business, there have been many new Data Science trends in the Technology industry.  

Here are some of the leading data science careers for your better career growth.

Machine learning Engineer

Machine learning engineers create data funnels and deliver software solutions. They typically need strong statistics and programming skills, as well as a knowledge of software engineering. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such systems.

Data Engineer

Data engineers are also responsible for building and maintaining data pipelines that create a robust and interconnected data ecosystem within an organization, making information accessible to data scientists.

Business Intelligence, BI Developer

BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end user's understanding of their systems.

Data Analyst 

For many companies, Data Analyst can also include tracking web analytics and analyzing A/B testing. Data analysts also aid in the decision-making process by preparing reports for organizational leaders which effectively communicate trends and insights gleaned from their analysis.

Data Scientist

Data scientists will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions.

From government security to social networking sites, Data Science experts are in full demand in every field. Millions of businesses and government departments rely on big data to succeed and better serve their customers. Data science careers are in high demand and this trend will not be slowing down any time soon.