The role of data scientist has been called the “sexiest job of the 21st century” by the Harvard Business Review. While it might not match the glamour of being a supermodel or secret agent, there’s a logic to the claim and it’s all about the human element.
In a world that’s increasingly about automation and big data, a data scientist is the person who can find the meaning and the lessons among all the numbers. What really makes data science such a standout role, and one not everyone can do well, is that it combines skills which aren’t often found together. As you’d imagine, it requires rigorous accuracy and detail in crunching the numbers among data. At the same time, it requires creativity to spot patterns and trends. In effect, a data scientist has to be able to see the fine detail and the big picture at the same time.
This blog listed no fewer than eight core skills that a data scientist needs to handle, ranging from understanding programming languages to statistics, to data visualisation and communication.