You usually don't need scale and precision at the same time, but a lot of algorithms get a lot simpler if you don't have to worry about rounding errors that get worse with every operation.

Floating point errors are hard to reason about and often makes equality a very fuzzy concept. If your not starved for bandwidth or memory, large fixed precision numbers are incredibly useful.