5 Ways To Reduce The Chances Of Hiring Wrong Data Scientist

Hiring the wrong candidate can be an expensive affair. Not just in terms of the onboarding expenses, but long-term repercussions such as project delays, below average results, increased attrition rates and others.

While the companies take a lot of precautions and elaborate procedures such as a combination of technical interviews and coding assessments along with soft skills to make sure they are hiring a perfect candidate, there are chances of them going wrong. More often than not, there are other biased factors that might lead to a wrong hire, such as a candidate having a vibrant personality, candidates having come through referral, among others.

Author: Srishti Deoras

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