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 last 12 months I've been managing two teams of ~4 ICs each. One was a functional team supporting analytics and data algorithms/pipelines for a particular company area, and one, mission oriented, was building an internal facing data product.
What were the outputs of those teams like? Did the ICs directly collaborate on producing them?
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In the first team the contributions vary, some are analytical in nature and thus inform decisions, or provide monitoring reports, but other are pipelines the ICs design and implement to support particular application features that require heavy (or subtle) data operations.
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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.
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