There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, their first inclination is to look for a data scientist. But is that really the best option? Let’s see how the roles of data scientists and data analysts differ and why you may want to hire an analyst before any other role.
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Data Scientist or Data Analyst
So, what’s the difference between data scientists and data analysts? The definitions of these roles can vary, but it’s usually believed that a data scientist combines three key disciplines — data analysis, statistics, and Machine Learning. Machine learning involves the process of data analysis to learn and generate analytical models that can perform intelligent action on unseen data, with minimal human intervention. With such expectations, it’s clear that three-in-one is better than one-in-one, and data scientists become more desired by companies.