In January 2019 I've been asked by a friend me some advice on how to build a high performing data science team. I wrote down some points which, from what I’ve seen in my own experience across several industries and decades are beyond the specific case and discipline. I then shared them on a Linkedin post. One of the comments from suggested to have a public gist to encourage collecting comments and addition to the intial list. So here it is.