Becoming a Data Science Manager - Mariano Semelman

We talked about: Mariano’s background Typical day of a manager Becoming a manager Preparing for the transition Balancing projects and assumptions Search and recommendations Dealing with unfamiliar domains Structuring projects Connecting product and data science Rules of Machine Learning CRISP-DM and deployment Giving feedback Dealing with people leaving the team Doing technical work as a manager Dealing with bad hires Keeping up with the industry Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html