Data scientists and data science managers, how many people are on your team? How often do you directly collaborate with your teammates, and what sorts of projects do you tend to collaborate on?
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Yeah, very differently. (The first also provides feeds some of their pipelines directly into application (say, recommendations, or similarity scores) and thus have user-facing consequences.)
Veeery interesting! That sounds like a huge scope for Team 1. What do you do to keep that team on track and prioritize to make sure they're delivering as much value as possible, especially when there's so many ways to do it?
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Yep, that team (that is now becoming two) is very hard to manage. One of many things we do is keeping a very strong relationship with the relevant product managers through regular meetings (with me) and shared prioritization/planning.
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Another one is having an always evolving (but still quite minimal) system for collecting potential work and determining which deserves execution. (Working on requests gotten via DM, for instance, is not okay.)
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