To thrive in data science management, you need to find a balance between different specialties. The data science manager switches between the tasks of sales, marketing, and optimization every day. But aren't they supposed to care about data science the most? Since we do our jobs collectively, we tend to communicate a lot. Ask any technical expert working in a business environment about how much time they spend doing actual work. On average, a software engineer will tell you that they spend 2 to 3 hours coding. During the other 6 hours, they attend meetings, write or read documentation, create tickets, and discuss technical designs. Data scientists spend a lot of time talking about data definitions, metric choices, and the business impact of the model they are building.
The number of areas a data scientist can spend...
