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YouTubeReenu Suryawanshi | skills & career
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Someone asked me if AI is killing data science. The answer depends on where you sit. Senior data scientists are still in high demand. It’s junior hiring where things get tricky. A lot of the work junior data scientists used to cut their teeth on, like dashboards, SQL queries, and simple ML models, is exactly what AI handles well. Give it clear instructions and it rarely makes syntax mistakes. Where AI still falls short is the open ended, vague business questions. It doesn’t understand the busine
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The rules of the data science interview just changed, and most people are still studying for the old test. Top companies are opening the door to AI during coding challenges. Not as a crutch — as part of the evaluation. The assumption now is that you have the tools. The question is whether you know how to use them. That means the interview isn't really about code anymore. It's about whether you can look at a real business problem, figure out what question is actually worth answering, and design a
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biocomputers #science biological data centers in the rise created from human cells #matrix voice from @Nicolas Hulscher
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