Wrong but useful. Working @Twitter, tweeting about data science and people management.
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What have you found to be effective wrt staying aware of teams' work in weak concept teams?
In my experience, it partly depends on the scope of the weak concept team since there's naturally a breadth/depth tradeoff there. But in any kind of scenario, I try to make sure I understand the context IC is working in and how they're investing their time.
For each IC's partner group, I try to understand what outcomes the group wants to drive, its level of quantitative maturity, and what existing data infra/assets are relevant to them.
Since the DS responsible for the area is usually trying to help the partner figure out how to measure/meet their goals, uplevel their data maturity, or build new data resources, that usually gives me enough of a framework that I can see how (well) they're contributing
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