A reputable automaker reached out to me today regarding a Data Science AI role. I was given a HackerRank Python coding test for one hour after fulfilling all the conditions. I was shocked to learn that there was only one difficult task—data cleaning, feature engineering, model pipeline, and assessment—in an hour, as I had anticipated three or four questions. Just understanding the issue takes ten to fifteen minutes.
Is this now the standard? This overwhelmed me as someone who assesses interviews and coding problems. Should I begin getting ready for interviews that are more demanding and time-sensitive? Does anyone else have this experience?
Currently, there is a hiring trend that will negatively impact everyone. People are looking for jobs using a variety of automated programs and are basically employing AI-customized resumes to spam every job posting. As a result, businesses are beginning to develop more complex evaluation procedures.
On both sides, it will be a race to the bottom. I’m afraid of having to deal with this the next time I have a position open, but I’m not hiring at the moment. It is essentially a denial-of-service assault to receive 500 applications with resumes that have all been modified to fit the position.
It’s terrible, and I’m recruiting right now. I asked them to whiteboard pseudo-SQL to solve a basic SQL problem (e.g., how many students are teachers based on this class roster table), and ten out of ten candidates who had SQL listed on their resumes failed to do so.
Hiring will be drastically changed by overemployed people, those who openly lie on resumes, and those who use artificial intelligence to falsify their resumes. It is going to destroy remote work. As a result, on-site employment and in-person interviews will be mandatory.
I get more rejections the more authentic I get. I’m hoping to make it shortly as well.