Top 5 traits of a good data scientist

Abhinav Srivastava
5 min readDec 10, 2020

“Try not to become a man of success but rather try to become a man of value”

The powerful statement once told by Einstein. Be it a data science world, or a manufacturing industry business, all run by people. In each of the world, several people got success and one thing is quite common in all of them. Trait to succeed runs into the blood of every successful person.

By 2020 in the US there will be an increase in data science professional jobs from 364,000 to 2,720,000. Not only that, the annual demand for such professional jobs will reach nearly 700,000 by this year.

Companies virtually in each and every industry looking to extract the information about past, present, and future from their existing data, and thus, data scientist jobs will continue to be in high demand.

But not every data scientist is a great or very successful data scientist. What differs a great data scientist from others.

1. A good Storyteller

A good data scientist's job is not only to develop a prediction model or analysing the data to its core but also to tell a compelling story to non-technical management, client, or team members about the analytical solution which he/she developed. For example:


If a data scientist has presented large chunks of numbers and try to explain how age and gender or passenger class are related to the Titanic survival, he would be failed. But the above graph clearly demonstrates all the relationships, which would be easier to explain through a story.

2. Thirst to learn

Try to learn something about everything and everything about something.

It is appropriately told by Thomas H. Huxley and the context would be aptly suited for a good data scientist.


Technology is advancing on the top gear. One would be leftover if it stops learning especially in the field…

Abhinav Srivastava

Senior Data Scientist in TCS, more than 10 years experience in Data Science, Top 20 Data Science Academician in 2018.

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