3 Essential Skills Needed To Succeed in a Data Science Career

To succeed in a machine learning and data science career, there are a lot of different elements you have to know quite well to be effective at your job. In this post, we'll go over the top 3 skills you should master as a data scientist! Data scientists are like engineers, but instead of coding a web app as a frontend engineer would do, they are responsible for architecting data processing pipelines, designing and implementing models, and developing infrastructure for system evaluation and metrics computation. As you can imagine, performing these tasks requires a reasonable amount of fluency with a high-level programming language (think Python, R, Matlab, or Julia), as well as data science specific libraries (think Pandas, Scikit-learn, Matplotlib, or Tensorflow). Developing this skill alone is something that can make up a year or more of an undergraduate computer science degree.