Learning statistics in machine learning isn't enough. You need to be able to apply all your statistical knowledge to your data.
Data sourcing and data cleansing is 80% of the work of a machine learning engineer. You might know what mean is but do know what mean value imputation and how to apply it to your data?
Applied statistics is taking your statistical knowledge and being able to apply it to your data.