Could someone help me break down the differences between a Data Analyst vs Data Scientist vs Product Manager? And add any pros/cons from personal experience? In my mind they’re all related, but I don’t have experience working with any of these roles.

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I think of data science as AI/ML, high level statistics and simulations (Monte Carlo). Data Analyst being data ingestion, cleaning, visualization, business intelligence. Product Manager being someone who quarterbacks a product from development to implementation to sales. Product might or might not relate to data.

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As a data analyst trying to get into data science this is spot on

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