There are no unicorns.
Often when people think of data Scientists, they imagine a mythical person who knows how to do everything required for success: write sophisticated Python libraries, derive cutting edge machine learning algorithms using a deep understanding of statistics, shepherd successful models through deployment, administrate the database, create elegant visual dashboards, deeply understand the business, and drive corporate strategy. The required skills listed on many job postings for Data Scientists is long, overwhelming, and in many cases, completely out of reach for a single person.
This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here