You are sitting in your office when one of the company's data scientists comes in and tells you they're quitting. As your (now) former analyst walks out the door, you think, “that’s third data hire who quit after just a few months.” "How can we retain more of the talent we hire?"
IT managers like yourself are well aware of the tight data science labor market. A narrow talent market increases pressure on you to retain the talent you currently have. There is a myriad of reasons why these people leave, and you can not control for every reason. However, here are some things you can do before hiring new talent that will go a long way towards retaining qualified data scientists.