Data science features significantly when you talk about high paying future jobs. To understand what’s driving this trend, which experts say will only grow bigger with time, you have to know how the technology landscape has experienced tremendous growth and undergone a sea change over the last few years, thanks to a high degree of reliability on computer programs, data-based analysis, and digital technology. Working with huge sets of data and making data-driven decisions, in particular, have become a norm in most sectors – from banks and fintech to transportation, IT, and more. After all, almost each interaction with technology has data at its core. Thus, be it your online purchase at marketplaces like Amazon, streaming recommendations for you on Netflix or Amazon Prime, your Facebook feed, or even the facial recognition necessary to sign into your phone, almost everything leverages data to perform certain operations. No wonder why data science is the flavor of the season. Experts in the domain of data science predict that in several companies and industries that are less tech-forward than others, where data science today plays a supportive (or back-office) role in the business, the scenario will change soon in the future as these companies and industries get ready to access a huge amount of data – both structured and unstructured, as well as feedback loops. And that’s what makes the job of data scientists one of the most coveted ones in today’s world.
What Would Be The Future Jobs For Data Science In Terms Of Artificial Intelligence And Machine Learning?
With the tremendous popularity of data science that shows no signs of slowing down, those looking for future jobs for data science professionals should be ready for some good news. As a humungous 2.5 Quintillion bytes of data gets generated each day, there’s a growing demand for professionals who are capable of organizing this enormous pile of data to offer meaningful insights, which in turn can help businesses make informed decisions and find relevant solutions. No wonder why future jobs for data science professionals will hail these people as the hero since these are those who can extract meaning from seemingly innocuous data – no matter whether it’s structured and organized or unstructured and disorganized. Though the post of data scientist has featured as the leader among other jobs for a few years in a row, the increasing emphasis on AI (artificial intelligence) and ML (machine learning) has given rise to a few jobs, the demand for which may soon outgrow that of data scientists. In fact, the competition between machine learning engineers and data scientists is heating up and the line between them is blurring fast.