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A future-proof hiring and assessing strategy for Data Scientists in 2020

Just a decade earlier, storing and maintaining data was a nightmare: there weren’t enough processes, inadequate infrastructure, and the lack of technological know-how to create that data into valuable information. However, with rapid technological advancements, we now live in a data rich environment. Around 2.5 quintillion bytes of data is generated and processed every day. Even the AI/ML algorithms have matured slowly to process this data. Therefore, it only seems fitting that data science is a job that has observed a high demand in the market lately. 

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