![]() This means we have data scientists with broad experience who are only now joining the industry, and the value of this domain expertise cannot be understated. This is largely because, when these job seekers entered the market, the data science field wasn’t booming the way it is now. ![]() We are also seeing a lot of applicants who have a data science education or an education compatible with data science but who went into other fields. I can do a one-month data science boot camp and school myself up quickly on Python, recursive logic, or neural networks’ and then boom, they are a leading candidate for us.” “Nowadays, scientists are coming out of school and saying, ‘You know what? I can do an end around on this. “Ten years ago, you would have had to go down a very specific track and make a structured career decision to end up in data science,” says Michael Tarselli, chief scientific officer at TetraScience. ![]() More mathematicians in data science means more grounded decision-making. While software advances may allow users to more easily create charts, they won’t necessarily be able to understand all the nuances and implications of them. This may also be good news in that it means that people with a solid understanding of how to interpret statistics properly will be available. This should be comforting news to anyone who got a degree in math (or a STEM-related field) and now wants to make a change in their career to be part of this rapidly growing industry. We are seeing an increase in people who went to school with a math background (or who might have started out in data engineering) wanting to make the switch to data science. Two big trends now have to do with those that are joining the data science field, and the conflicts in the type of data that larger and smaller companies are prioritizing. This staggering number proves not only how much the field will grow but also why it is so important to identify and stay ahead of the trends. Data is the backbone of businesses across industries, and some estimates indicate that the total amount of data created, captured, and consumed will likely reach 149 zettabytes by 2024.
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