In my own research, I've separated the ad hoc development of models, algorithms, etc, which I call "data science", from the creation of self-service automated systems, which I call "analytics". These two types of work are very separable and in many businesses they fall under different management and organizational structures -- the data scientists or analysts build the models, then the engineers or software developers turn them into dashboards or other tools.