Categories: Future Tech

Data Scientist – The Who, What and Why

A geek who can dig out valuable insights from the big mine of data. A data scientist possesses strong skills in analytics, data mining, engineering, machine learning, algorithms and programming. A bonus would be, if he can understand the commerce and create a demand.

There are few database ad data-ware housing solutions available like Hadoop, Storm and Greenplum which help you to store and manage the unstructured and unsymmetrical data. The data scientist needs to have a good knowledge and understanding about these tools. This would help in deciding which solution would be suitable for the organization, depending upon the problem that the organization is trying to solve or the innovation they are eyeing on.

A data scientist is someone who is curious, reading and analyzing the data, spotting future demands, or a problem that’s unseen or being ignored, helping organizations to get ready for the future. Being said that, please note, a data scientist is not a miracle worker, a work of data scientist is like working in the salt mines. For the data scientist to dig out the insights, it will take some amount of time, need to have patience, there will be a lot of hard work to be done.

Like any other employee, apart from the technical abilities, the data scientist will also need to have the basic qualities which are seriously required to stay well employed in any organization.

He needs to be a good team worker, should be able coordinate and get along well with other employees. This is important, because skills can be taught but to be a team player, you can’t.

It would be real big asset, if he’s got some entrepreneurial or business skills. because then the communications would be much smoother on both ends, on the managers end as well as the engineers, programmers and designers end.

The most important ability the data scientist needs to have, is good communication skills. He should be able to explain the hidden gems in the data. Because from this point forward, the organization will start bringing in and developing ideas and planning and initiating projects and further researches.

As a startup, if you think you won’t be able to afford a data scientist or you think you can do it or want to do it yourself, i’ll recommend Stacey Higginbotham’s post ‘Want to ditch your data scientists? here are 7 startups that can help‘ . These are 7 startups which are trying to make the big data easy to understand, study and process.

photo source: Travis Isaacs

Suhail

Suhail is a Startup's guy, an Avid Blogger, Content Writer and Curator. Most of the time found sitting at a wooden desk with a Vaio Laptop and a phone on the side. Tweets awesome contents. You can catch him at his Twitter handle @NafkSuhail or on Email: suhail@nafk.net

Recent Posts

Can you trust AI with your fundraising secrets?

A founder’s guide to data privacy in the age of GenAI AI has shifted from…

2 days ago

Can India be a South Asian tech titan in the making?

India has been embracing technology at a high rate. The world has expectations from the…

3 days ago

Building tomorrow’s offices: Blending aesthetics with automation, sensors & sustainability

In a world where the lines between physical and digital experiences are increasingly blurred, the…

3 days ago

For medical research & doctors AI has been a good team player

No matter what other controversy Artificial Intelligence (AI) might be getting into, AI has been…

4 days ago

UTI Mutual Fund warns against fake app & WhatsApp scams

The UTI Mutual Fund has said that it has observed that some groups, individuals, handles…

4 days ago

Starlink Satellites go to India: IN-SPACe grants authorization to Starlink Satellite Communications Pvt Ltd

Indian National Space Promotion and Authorization Centre (IN-SPACe) has granted authorization to M/s Starlink Satellite…

4 days ago