The real life doesn’t tell you what problem statement to work on from the given data. Also, the problem statement an analyst / scientist may frame, might not be the most valuable for the business team. On the contrary, one of the simplest, not extremely fine tuned model, but a quick one drawing much needed insights will generate a high value. Here, analytics translators are the ones to frame the problem statement and define the projects for the data science team. Hence, it’s needed that a translator has some experience of data science, business domain and strong ability to explore the data with right intuition to optimize the efforts.
With the data science automating, this role would be in extreme demand, in future as this person brings out value from the data science team by giving the right vision. If you have problem solving skills, and right set of soft skills, plan yourself to move for this role.