Wrong but useful. Working @Twitter, tweeting about data science and people management.
"Wait, it's all her views?" 
"Always has been"
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
It also makes it harder for DSes to collaborate. A team of two horses can pull more weight together than two horses working alone. Engineering teams, which are inherently more modular, function like teams of horses, and Type A DS teams function like individual horses.
As a type A DS manager, it makes you wonder if you're really managing a team in the same way that an engineering manager is managing a team. There's less of a shared identity. It's hard to say what you're doing as a TEAM, rather than as individuals.
Now, this all might sound like a lament, but I'm not necessarily saying that it's a bad thing. Type A DS teams are viewed as important (maybe even essential) partners much of the time, and an embedded, verticalized team structure usually generates good outcomes for a company.
It's not bad, but it is different. There are some days where I what the hell my job as a DS manager is even supposed to be, but thinking through the differences helps bring me some clarity.
Great thread. Another angle I've experienced is that the relationship between effort and output can be non-linear for eng, but in Type A DS it can be wildly so. Can in fact be a step function when that last cut of the data yields THE critical insight.
This is very very true. That's why it's so important to share work with stakeholders early and often. You can get the feedback you need to know what they care about and will find useful, and focus on doing that
So part of what I think a DS manager often brings is the perspective and judgment of when to stop and move to the next question. When to pull the analyst out of the rabbit hole (because frankly, analysts kind of like it in there and rarely climb out on their own)
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
