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...and nothing of basic statistics? Data Science people want to know about your data pipeline and have some quantification of the quality of that data. Also, monitoring data pipelines for data integrity often relies upon a statistical test. You don't need to go as far as Bayesian but you do need to understand when a median goes way off or if it bi-modal, etc.



That should be assumed in the "engineer" part of the role.


Yeah I would definitely expect an engineer to have a grasp of basic statistics such as mean, median, mode and be able to interpret statistical graphs on a basic level (Modality, skewness, shape, etc) .


a good catch, thanks!




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