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Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML Products
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Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML Products
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- 0:00 - Transcript checkpoint 1: Thank you for joining. I will start with the introduction, and maybe more
- 3:38 - Transcript checkpoint 2: A product manager is responsible for the product and for making sure the team
- 6:13 - Transcript checkpoint 3: The product manager exists to keep the team close to the user. They speak
- 10:21 - Transcript checkpoint 4: Together with the product manager they decide if the problem is worth solving.
- 13:58 - Transcript checkpoint 5: Data engineers ensure all necessary data appears in a usable form. They make
- 17:04 - Transcript checkpoint 6: One of them is the machine learning engineer. A machine learning engineer
- 20:54 - Transcript checkpoint 7: Their skills are similar to those of other engineers, so they must know cloud
- 24:55 - Transcript checkpoint 8: If we are building a service that predicts categories correctly, everyone
- 30:01 - Transcript checkpoint 9: One way to separate the roles is to say that data engineers prepare data before
- 34:35 - Transcript checkpoint 10: What roles depend on the size of the team? For example, would you see a machine
- 38:52 - Transcript checkpoint 11: The nature of the work is different. A full stack web engineer focuses on
- 43:24 - Transcript checkpoint 12: We are wrapping up for today. Thank you for attending the session. I look