I'm currently working on a master's degree in physics where my project uses C++. I have read about how some physics phD's were able to get data scientist roles despite working on computational astrophysics. This is a little surprising to me since I thought experimentalists would be more suited to data science since they work with data and data analysis more than computationists. If anyone here has gone from computational physics to data science, or know anyone who made the switch, can you explain how? Just go to kaggle and work on data sets? Also, do companies only hire phD's for entry-level data scientist roles? With just a master's, if I can't get a data scientist role, what other similar jobs are available?