Machine Learning Times
Machine Learning Times
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

9 years ago
Data Science – Found Your Unicorn Yet?


You’ll find much banter in the data science ecosystem these days about all the skill-sets required to effectively function as a data scientist. Some have gone so far as to label the perfect melange of experience and knowledge as a “Unicorn.”  This a reference to the recent discussions in the press and blogosphere indicating that Data Scientists are as hard to find as unicorns.  Many companies in search of their own unicorn place unrealistic job ads containing requirements that only a data science superhero can fulfill. Fortunately this mindset is changing where the search for a single Superman is wisely replaced with building a team of people with complimentary skills – a data science team. To be sure, some candidates might indeed posses expertise in computer science, statistics, machine learning, probability theory, engineering and domain knowledge. They are just very hard to find. Many, if not most, data scientist job descriptions don’t reflect this reality and so these positions go unfilled for a very long time. Here is a critique of a recent job ad posted by Facebook that exhibits the unicorn mentality.

The graphic below is a new take on the subject courtesy of Steve Geringer. Steve’s Data Science Venn Diagram v2.0 is a variation of the original from Drew Conway that’s so ubiquitous these days. Let’s hope that the central unicorn is replaced by “Data Science Team” one day soon.

By: Daniel Gutierrez
Originally published at

Leave a Reply