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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The second team is building an entire product, so that's what they do, they implement (in collaboration with designers and product managers, and paying close attention to the needs of users). They live in the conjunction of statistics and software development.
If I'm interpreting your tweets correctly, the first of those teams seems more like an analytics team (delivering analysis/insights and the pipelines used to produce them) and the second like more of a traditional software engineering team. Do you manage those groups differently?
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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.)
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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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