In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis. More precisely, a study's defined significance level , is the probability of the study rejecting the null hypothesis, given that the null hypothesis was assumed to be true; and the p-value of a result is the probability of obtaining a result at least as extreme, given that the null hypothesis is true.
Significance is most likely to appear on Data Scientist job descriptions where we found it mentioned 2.4 percent of the time.