{ "media_type": "text", "post_content": "How are the AWS data scientist positions different from Amazon's e-commerce data scientist positions? Purely based on job description, the former seems a bit of a sales and implementation role. So would like some thoughts on any fish who have an idea.", "post_id": "5ff343056359ae00286906c8", "reply_count": 1, "vote_count": 5, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants" }

How are the AWS data scientist positions different from Amazon's e-commerce data scientist positions? Purely based on job description, the former seems a bit of a sales and implementation role. So would like some thoughts on any fish who have an idea.

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On the analytics side, it's B2B at AWS vs B2C at e-commerce. I'm not familiar with Amazon's data silo structure, but B2B typically has way less volume in data and arguably more complex structure problems (sales are made to groups rather than individuals). DS experience does transfer between the two, but you'll be stronger solving problems you're already experienced in. Culture-wise, I've heard AWS is faster paced and more intense, though Amazon as a whole has this reputation.

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