Data science is effectively changing all industries and it has been proven that technology will stay here, which is why the demand for a data scientist is constantly increasing, but what qualities should a data scientist bring? Why do data scientists should stay Curious and open-minded? What difference will it make to your jobs? And why exactly is it important? If you’re also curious to find answers to these questions, you’ve come to the right place.
Here are 5 reasons why data scientists should stay curious and open-minded:
Key Trait
For every data scientist, open-minded is a key quality. And it doesn’t mean being open about the results of an experiment. It’s also important to be open to other people’s ideas and beliefs. Everything is a learning experience and a data scientist after all. You need to hear everyone’s opinions and ideas, read magazines, read the latest technology news, and more.
Observation
In order to carry out experiments or study a topic, a data scientist observes what is happening. Clear perception requires a focused brain that is not clouded by preconceived thoughts. The great data scientists of all time always clear their minds and override their judgments. By suspending their judgment and by opening their brains, data scientists can see the patterns that may emerge or discover new insights.
Creative Insights
A curious and open-minded data scientist can follow the creative flow of knowledge in the field of data science. Scientists use thought processes that require the ability to think in unusual ways. Innovation starts with a mind ready to give up disbelief already in things that you haven’t thought of before.
Investigation
If you want to become a data scientist, you will of course do research. To be good at what you do, you need an open mind. Data scientists in particular keep asking themselves questions. A closed mind has all answers and is not curious to learn anything more. A good data scientist is a skeptic who questions everything, even scientific laws that have previously been recognized as true.
Curiosity and Imagination
Curiosity makes a data scientist wonder why something behaves a certain way in data science. Albert Einstein, was a patent clerk before he became an eminent scientist, touted imagination and curiosity as necessary to scientific study. “He who can no longer pause to wonder and stand rapt in awe, is as good as dead; his eyes are closed,” said Einstein. Therefore, having a curious and open mind in the field of data science is very important.
