80% of Data Science Interviews Fail: Here's How to Beat the Odds

In the competitive field of data science and machine learning, preparation is key. A recent study shows that 80% of candidates fail to secure a position due to inadequate interview preparation. To increase your chances, over-preparation is crucial. This involves anticipating interview topics and deeply studying them to provide clever, well-thought-out solutions during the interview. The process begins with a short call from a recruiter, where candidates should have a concise elevator pitch ready. This pitch should be no longer than three to five sentences, structured to outline your current position, background, and career aspirations. This brief introduction helps set the tone for the interview, highlighting your relevant skills and experience.

Source: towardsdatascience.com