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

data data science science