Asking for feedback is a secretly powerful tool in data work. Let’s talk about why, and how to do it well A recent conversation with a fellow data practitioner sparked an idea that I want to share today. What is your process for conducting data analysis or modeling, and what do you consider important but perhaps unsung parts of getting the job done well? I realized as we were talking that getting feedback from other people as I go through the work is an extremely important part of my process, but it’s not actually something that is explicitly instructed to junior practitioners in my experience.

Data science roles can be very different, and job postings are not always clear. What hat do you want to wear? After the positive responses to my recent post in Towards Data Science about Machine Learning Engineers , I thought I would write a bit about what I think are the real categories of roles for data science practitioners in the job market. While I was previously talking about the candidates, e.