A data scientist might assist a store for a few months by making a graph that shows when lots of customers come and when it's quiet. By looking at the groups and odd ones out, the store can plan when to have more staff during busy times and fewer during slower times.
That sounds like a very helpful project that a data scientist could work on for a store. By analyzing customer traffic patterns, the store could optimize their staffing levels and provide better customer service. It's great to see data science being applied in practical ways like this.
