The Data Scientist is responsible for assessing the adequacy of data to solve the particular problem and to share the results of the analysis, indicating and risks or potential implications due to lack of data quality or availability.
Data science models (machine learning, NLP, etc) are usually inferred from the data itself. Not having adequate data does not prevent the data scientist to create a model, but this model is not going to be appropriate to solve any problem
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