How hard is it to transition from data architect to data scientist? Either internally in terms of personal brand or externally in terms of exit opportunities.

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Very different skillset (& as someone in a technical data/analytics practice, the skillset in demand now is data engineering and especially ML Ops).

Thats a much closer fit with data architecture & this area will continue to grow in the future as data science becomes packaged and standardized (its pretty simple to build a classification model nowadays with scikit-learn)

Data Architect to data engineering will be straightforward. Data science at the simplest is straightforward. But way too many people claiming to be data scientists are doing trivial things not much more than simple models.

There are a lot of more weak data scientists that don't understand the math and misuse libraries that aren't applicable. Knowing when to use clustering vs. or with Markov chains is much harder than running the model. Doing predictive models range from trivial to highly complex. Understanding oversampling and confounding is easy in concept, but can be a lot more complex in industrial situations.

Good data scientists work with data engineers to build the analytic models.

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