Why Machine Learning Engineers are Replacing Data Scientists - KDnuggets

ML engineering and data science are not the same things, and here's why: you know when people say that data science is a mix between business knowledge, statistics, and computer science? Well, ML engineering is a lot more about computer science and less about statistics and business knowledge. In practice, that means that a data scientist is more talented at creating new models, analysing and interpreting data, and understanding the mathematical basis for those models. He or she will usually come from a statistics background, some might have a PhD, and will be really good at math, while programming was something they learned in order to do math using a computer. An ML engineer, on the other hand, will shine at building and optimising data flows, implementing models, and putting them in production.