Wednesday, April 26th, 2017
A data scientist represents an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modeling, statistics, analytics and math.
Big Data forces us to change the way we collect, store, manage, analyze and visualize data. A Data Scientist is a professional with the training and curiosity to make discoveries in the world of Big Data. They make discoveries while swimming in data.
As they make discoveries, they communicate what they’ve learned and suggest its implications for new business directions. They are also creative in displaying information visually and making the patterns they find clear and compelling.
Data Scientists want to build things, not just give advice. They know how to build data products. When the company sees what can be created with data, when it sees the power of being data enabled, we’ll see data products appearing everywhere.
Summing-up: The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids. Because now we really do have essentially free and ubiquitous data.
These notes have been taken from:
- The pdf Data Scientist: The Sexiest Job of the 21st Century, (HBR).
- The post What is data scientist.