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

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