9 Traits of Machine Learning Engineers - DATAVERSITY

He goes on, "(3) You should be comfortable with failure. A lot of your models and experiments will fail. The best people are the ones who are genuinely curious about the world around them and channel that curiosity when working on machine learning. You should be good at identifying patterns in the data. Being able to create quick data visualizations (using R, Python, Matlab or Excel etc.) helps. You should to be able to establish metrics that define success or failure of your system. You should feel comfortable with blind experiments [1] and terms like precision, recall, accuracy, ROC, conversion rates, NDCG etc."