Pyspark - how to generate random numbers within a certain range of a column value?

Initially I wanted to generate random integers between two numbers (10 and 80):

from random import randint
df.fillna(randint(10, 80), 'score').show()

What will be a correct way to generate random decimals within a certain range of a current column's value? For example, random decimals within +/- 15% of a 'score' column with a value 25.0?

I've looked into the documentation but there are only examples showing how to generate random numbers with seed. Not sure that it is suitable in this case.