Data Scientists

A data scientist can be defined as: “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making” (Google definition). Companies rely heavily on their data scientists and analytics teams to make sure the business is reaching their potential with their resources.

In an article published by techrepublic.com, it discusses how one can succeed as a data scientist even if you aren’t an analytic person. The article also talks about how data science goes beyond the numbers; factors such as personalities play a role in the career. There are 3 personality types that may fit well into an analytics career: drivers, expressive, or amiable.

A person with a driver personality can be described as: “very independent and emotionally controlled, but they are much more assertive than analytics. They take calculated risks and, above all, get things done.” A driver would be a good member to have on an analytics team because they can get things moving along in an attentive manner.

People with expressive personalities can be described as people who are assertive but do not have the same emotional regulator of drivers. These individuals focus more on the big picture of the company and would be more prone to taking risks to try to get ahead.

Amiable personalities are sympathetic, trustworthy, and passionate people who wear their hearts on their sleeve. They are often able to get to the center of issues and stress the importance of teamwork to achieve goals.

To read the article click here: http://www.techrepublic.com/article/how-to-succeed-as-a-data-scientist-even-if-you-arent-an-analytic/