How do Data Scientists select the right algorithm for a problem?

Data Scientists will not also avoid making a choice on the appropriate algorithm either in view of nature of the data or of the task at hand. They must use linear regression in predicting continuous data, decision trees in classification, or clustering if the aim is to group similar data points. Other considerations are on model interpretability, computational efficiency, and available data size.