What level of techy vs businesses would you say your data science and analytics teams have been usually? No shame, just trying to gauge

See everything from production ML pipelines with Airflow, to folks just discovering SQL and living in Excel. My experience had been minimal version control, scrappy production R code, container environments for reproducibility level. Feel like more people are "behind" even this in their tech, but now and again see a post from someone living in the space age 😬

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I think it varies so much across industries and companies that it probably exists on a normal distribution. My F500 has people with my title who just learned you can write custom SQL to pull into a PowerBI dashboard, and then there’s me who’s trying to get people to use git and version control. Might need to bounce because i’m in the minority 😅

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Most of this is culture dependent. Before meta/fb my teams had to wireframe, write tests, git, automate data validation, etc.

Now that I'm an ic I don't do any of that because no one makes me do it and my work generally isn't going to production.

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