Pros
- You will learn a ton about new technologies - You will gain experience as a data engineer, ultimately making you a better data scientist
Cons
- The leadership is completely absent. There is no clear vision for this team, no direction from the highest levels. - The middle management has no idea what it is doing. They have promoted people to senior roles who can barely code. There's some serious nepotism going on. - There is no set criteria for promotions. It's essentially who your manager thinks they can trust. People on this team lack the basic skills to hold an advanced title and are constantly asking others for help. - Middle management does not listen to the expertise of their data scientists. They embark on projects where 80% of them say it won't work and then they will force them to work on it anyways. - Project management is inexperienced and ineffective, creating more work than necessary and treating data scientists as children. - Women and minorities are treated like tech support. - Leadership protects each other instead of their reports and will scapegoat and force people out to cover for their inability to deliver. - Harassment is not reprimanded unless it is escalated to HR (which even then it might not be). - Some take credit for the work of others and then blame others when something goes wrong. - There is a culture of gaslighting and making anyone who raises concerns feel like the problem instead of addressing the real issues. - The turn over rate in the past year is ~60-70%.