{ "media_type": "text", "post_content": "What are the comparative differences and pros/cons of a data scientist role versus a data architect role?\nI understand there’s good overlap, and DS is particularly ill-defined, but are there any reasons one might choose one over the other? It seems like architect is more computer science, and data scientist is more around math. What do you think?", "post_id": "5f91ae7af5ae4a002ff93b50", "reply_count": 4, "vote_count": 1, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants" }

What are the comparative differences and pros/cons of a data scientist role versus a data architect role? I understand there’s good overlap, and DS is particularly ill-defined, but are there any reasons one might choose one over the other? It seems like architect is more computer science, and data scientist is more around math. What do you think?

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Difference is this: do you want to solve specific business problems, or coordinate generalized infrastructure to support as many different potential problems as possible? Also, I feel like we're having the same conversation on two threads now 😬

Both have their own growth opportunities. I think DS offers more exit options if you change your mind.

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