Summary: Explaining data science to a non-data scientist isn’t as easy as it sounds. You may know a lot about math, tools, techniques, data, and computer architecture but the question is how do you explain this briefly without getting buried in the detail. You might try this approach.
We’ve all been there. You’re at a party or maybe striking up a conversation with that pretty girl at the bar and sooner or later the question comes up, “what do you do?” Since you have what is reported to be the sexiest job in the world you proudly respond “I’m a data scientist”.
OK, what happens next depends on exactly what you say. Do your fellow party goers hang on your every word in anticipation? Do you, as they say, get the pretty girl’s digits? You respond:
“I’m working with deep neural nets with dozens of hidden layers on cloud based TPUs using Tensorflow. Right now I’m working to put bounding boxes around images of people so I can create multi-class deep learning models to predict their…”
