When we first met Patrick, he was a student in our Data Science class. Since then, he’s taken on roles as a teaching assistant and lead instructor. He recently landed his dream job working as a data scientist for Oscar Health. Here’s his story in his own words.
What makes a job sexy? Money, power, sex appeal? To us, finding a job you love, that is totally in demand (read: people want you), is what’s sexy. With that definition, there is no sexier job these days than….data scientist.
According to IBM, we create 2.5 quintillion bytes of data every day. This data comes from all sorts of places; social media, e-mail, purchase transactions, digital photos and videos, and log data (data extracted from web servers), just to name a few. This data is too large and complex to handle with traditional means of data management, and data scientists are the individuals who know what to do with it.
Name: Thomson Nguyen (@itsthomson)
Occupation: I’m the Lead Data Scientist at Causes. I’m also a Visiting Scholar at the Courant Institute for Mathematical Sciences at NYU.
1. In 140 characters or less, what is Data Science?
Data science is the art of using data to create products, obtain actionable insights, and communicate decisions to non-technical people.
2. What are some practical applications of data science?
Most recommendation engines you see on a shopping sites use machine learning and data science. Any data visualization you thought was cool in the last year or so was probably the result of hacking together data. In short, we use data science to help us discover new bands, secure our mobile phones, and ultimately tell a clear story from large, unclear amounts of data.