how difficult is it to transition into data science or data engineering from a BI engineer role?

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Considering what we call data science is just being able to script, structure queries, and wrangle data, you’re fine. Also, I used to be you, and am now a Data Science Manager. Happy to chat about it.

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Another big part I've seen is presenting the data to folks who know nothing about data. I have to break out the tools from when I taught freshman back in grad school

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If you know SQL not that hard

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Into data science is quite different right; it’s more like problem solving. Find the right model for a use case, run it, review it, tweak it, etc.

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Tools/Languages not so much. I think the bureaucracy is the bigger obstacle. If you have experience on BI do you think consulting companies will let you switch to another discipline that who knows (for them) if you will be the same as profitable as participating as in a BI role as easy?

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Some do if you have basic skills .. especially data engineering, since they need people and have to constantly hire in due to attrition .. one needs to show the aspiration to learn and apply in initial months

What tools/languages do you know now?

Shouldn’t be too hard. Sharpest learning curve would be the need to know Python, if you don’t already have that tool in your belt.

This is for the data engineering transition. Can’t speak on data science haven’t played that role yet.

Yep, have had experience as a data scientist in a consulting environment

Currently pondering an opportunity and wondering if I will be pigeonholed. Company I got an offer from very much makes it easy to move around but I am thinking about it

I see a a straight line

What separates a BI engineer from a BI developer or analyst?

Depends on what the firm considers a data scientist. Do you need to use machine learning algorithms, write new algorithms, etc

or

Do you need to just do bi with python?

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