A Simple Way to Improve Data Science Interviews

In this post I share a story about a mistake I made as an inexperienced Data Science hiring manager, and how it changed the way I conduct technical interviews. I also walk through an example Data Science interview prompt and show how stronger candidates approach the problem differently than weaker candidates. While I focus my discussion on Data Science, most of my insights and suggestions are relevant for any technical role, including Software Engineering, Data Engineering, etc. But first, a brief bit of background about myself. I’ve been working in Software Engineering and Data Science/Machine Learning for about nine years now. I’ve worked at companies of all sizes — the largest being Wayfair (13k employees), and the smallest being my current employer, Fi (~100 employees), where I’m the VP of Data. I’m now approaching an inflection point where half of my career has been spent as an Individual Contributor (IC), and half as a Manager/Director/VP. During the latter half, I’ve built or inherited teams ranging from two to 15 individuals. In that time, I’ve hired about 20 people, conducted hundreds of interviews, and designed countless interview pipelines. <a href="https://towardsdatascience.com/a-simple-way-to-improve-data-science-interviews-5d07838d6632">Visit Now</a>