Data Scientist vs Machine Learning Engineer – what are their skills? - KDnuggets

Overlap between these two popular tech roles is sure to happen, so let's dive deep into what skills are required for both roles and what makes them different. In general, data scientists can expect to work on the modeling side more, while machine learning engineers tend to focus on the deployment of that same model. Data scientists focus on the ins and outs of the algorithms, while machine learning engineers work to ship the model into a production environment that will interact with its users. I will be describing these top skills by personal experience in 2021. I have seen a lot of articles communicate other skills and tools that data scientists use, but I want to describe the ones that most people I know, including myself, use daily.