3.5 years of experience on ML but no real math knowledge

So, I don’t have a degree at all, but got in data science somehow. I work as a data scientist (intern and then junior) for almost 4 years, but I have no structured knowledge on math. I barely knows high school math. Of course, I learned and learn new things on a daily basis on my job.

I have a very open and straightforward relationship with my boss, but this never was a problem. However, I’m thinking that this « luck streak » will not hold out that much longer if I don’t learn my math properly. There’s a lot of implications in the way, my laziness being one of it. The 9 to 5 job every week and the okay payment make it difficult to study (I’m basically married and with two cats too).

My perfectionism and anxiety is the other thing. At the same time that I want to learn it fast to not fall short, I know that math is not something you learn that fast. Also, sometimes I caught myself trying to reinforce anything to the base and build a too solid impressive magnificent foundation that realistic would take me years.

Although a data scientist my job also involve optimization.

Do you know anyone who gone through this? What is the better strategy: to make a strong foundation or to fill the holes existing in my knowledge? Anything that could help me with this? Any valuable advice would be welcome.