It’s clear that data cleaning, like modelling, is not immune to automation. As a result, it’s likely that data scientists will find themselves leaning more and more into their subject matter expertise, communication and engineering skills in the future, rather than spending their time on dealing with missing values, hyperparameter optimization or model selection.