3 Qualities for an Aspiring Data Scientist

Data science is a very rewarding field that deals with a fascinating new entity in the data world: big data, something that constitutes a quite intriguing challenge since there is no straightforward way of dealing with it effectively. This leaves a lot of room for creativity and a wider array of possibilities that you are called to explore as a data scientist. In addition, through this role you have the opportunity to develop aspects of yourself that no other role in the IT field provides: namely creativity, communication, direct links with the business world, etc.

A Data Scientist need to have these qualities:

Ability to choose a right technology.

There are various techniques and different tools that a data scientist need to master. Although there are many machine learning techniques, visualization tools, programming languages and data mining technologies which will result in complicated and long list of required skills.

A Data Scientist should present skill in discovering patterns in huge number of data points, cascading from different sources, and should infer insights from the patterns which are used in decision making. He should also be capable of  finding triggers which can be helpful to optimize those insights, this may be within sensor data at a factory or detecting customer behavioral triggers for retailers. Depending on the requirements, the Data scientist need to select the best techniques and tools to get the best results.   

Business Context need to be understood.

Selecting a proper technology obviously has to do with getting to know the business and prominently grasping the right business context. Before a Data scientist would dive into the data, he or she should thoroughly master the problem and clearly understand the context at hand. The way to achieve this is in association with the business partners and take suggestions to completely knowing about what needs to be done. A data scientist should have a basic understanding of how to run a business. Which evidently depends on the company size as well.

Various industries need various solutions and various solutions require an approach differently. In order to get employed in a specific industry, you should consequently have a feeling for the industry, as it will allow you to better grasp the context. A good grasping of the context will give rise to better insights.

Gain experience by working on projects.

Especially aspiring, new Data scientists require experience in solving a wide range of problems and working with different data sources. However there is a lack of Big Data Scientists, it still is prominent to showcase the right experience if you need to get employed. Anyway this may sound similar to an open door, the more abilities you ace and the better you can comprehend various organizations just when you work on different projects. Sites like Experfy or the Kaggle, created by the Harvard Innovation Lab, can accord you the correct understanding to get that desired job inside your favorite company.