A machine learning system was trained at Google as an attempt to do "scientific hiring." As their ground truth, the team used the performance reviews of people who had already been hired at Google. To optimistically give it the benefit of every doubt, this study says that Google put too much emphasis on success in programming competitions when it was making hiring decisions in the early 2000s.
To look at it more pessimistically, the possibility of correlations between the features cast doubt on that conclusion as well.