Does your company split data science roles into different practices like data & analytics and software engineering? Does this inhibit collaboration & Where does a data engineer fall?

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These roles are being retired due to cleansing bots, tool advancement, and vertical pressures from data architects and data scientists

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We have 3 groups under Analytics. Data Engineering, Advanced Analytics, and Analytics Experience.

Eg.
Data Engineering = Data Warehousing, Data Lake, IoT

Advanced Analytics = Data Science, Machine Learning, AI

Analytics Experience = Dashboards, Reporting, Tabular, etc.

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Honestly the skills between all these roles are very different and highly vary in CS or Mathematical complexity. As an analogy, You wouldn’t want to call an accountant equivalent to a strategy consultant. They are too different but both benefit from the other.

There’s a case to be made that some of these skills will be automated away, but my response is those people never suffered though the set up a server or built a model to help a car see. You cannot automate those aspects.

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