I've come across an issue I've never had before. My last position was a Data Science position. Data Science is an extremely broad field with more concepts under it than almost any other field I can conceptualize.
During job interviews, I'm asked to explain very precise code and process steps from up to a dozen projects that I worked on as far back as a couple of years ago. There are so many concepts to consider that it's quite difficult to know what questions I'm going to get in Data Science interviews. Not only that, I also need to remember somewhat precise accomplishments from other jobs in my career as well. This seems like a considerable amount of information that I need to retain for every single Data Science job interview, each of which are already high-pressure. And if I spend too much time preparing for each and every Data Science interview, that doesn't leave much time for other important matters that need my attention.
I've been able to pass difficult college and certification exams in the past, but this seems next-level when it comes to memorization.
I maintain a large list of likely data science questions and answers and a large glossary of terms to read before every interview, but that doesn't adequately prepare me for a high number of random questions about very nuanced issues.
I'm highly considering moving to an adjacent career path so that I will not need to deal with such stressful interview situations. But, recruiters contact me about Data Scientist jobs at least 85% of the time because of that one Data Science job that I had and because Data Science is such a high-demand field.
Does anyone have any suggestions on the best step forward?