Should I focus on going deep or going wide career wise?

Hi HN, so I currently work as a Junior Data Scientust for a fintech firm but one of my main goals is actually to start my own company soon. So at the moment I'm wondering whether I should focus on going deep and studying extra to keep to become a really good data scientist (currently I consider myself below average e.g I won't be able to get a DS job at a top hi-tech firm right now) or should I focus on going wide, maybe shifting towards a product management role to help me better prepare for life as a founder (even though I want to be technical I'm not sure I can ever get to the point of being a top 25% Data scientist/Coder but suspect I can do this with being a PM as it contains a wide range of skills that I think I have or can develop quickly). I'm not looking for someone to answer this directly but rather to give me a framework or mental model to use to make a decision.

Thanks!