Data Scientists: The Most Misunderstood Technicians of All

What is a data scientist and what do they do? We put together this profile to help you decide if it’s the dream tech role for you.

Data scientists are one of the most argued over tech roles that there are. It’s because it’s such a wide umbrella term. Anyone who works in It or tech and uses data to solve a business problem is technically a data scientist. If we look more closely than that, however, the role grows exponentially. Data scientists are the most misunderstood technicians of all. Let’s discuss.

The Scarcity of the Data Scientist

One of the reasons this particular tech role is so often talked about in IT circles, is because there has been a perceived shortage of them for years now. The problem seems to be that businesses underestimate the importance of having a data cruncher improving their online and offline tech. People don’t understand the value in it and therefore don’t hire them. Couple this with the gross lack of perceived value in the role that most computing students have, and we end up with a lack of data scientists in an advancing technological world.

The Role of the Data Scientist

While Data Scientist jobs are in high demand, people don’t seem to know what it is that they do exactly. The UK government describes the role well. They maintain that this type of technician uses techniques and computing knowledge to retrieve data and process it into something businesses can use. They then use this data to create solutions that are tailored to your business. They use statistics, analytics, and machine learning, to devise solutions to problems you haven’t identified yet.

As you can imagine, the role of the data scientist has the potential to turn a business that’s missing the mark into a business that is turning a profit. There is no other type of techy out there that can interpret data in the same way. Not only does the scientist interpret the data in ways that are useful to your corporation, but they can also then piece together solutions through creating programs, building sites and pages, or providing a tech-based knowledge that could solve your business problems.

Examples of a Data Scientist in Business

What would your business need a data scientist for? There are some real world examples of what they might do within your organisation. Here are a few favourites.

Present Facts/Figures in Graphic Format

The data scientist is the person you turn to for that presentation when you need figures at a glance.

How to Get Data Science Jobs In Europe - Fasthire

Data Engineering

When your business needs a new software system that you can totally tailor to your specs, the data scientist is capable of building a new one, or of tweaking an old one to work better.

Sourcing New Programs

When the time comes that you need new accounting software or a better storage retrieval system, they will help source a better one than what you have already.

Digital Architecture

Wherever your organisation has a need for improved digital architecture, the data scientist can help highlight the need and even start to tackle it.

Data Scientists are Underrated

Consider a role in data science and you will never be short of work.

Data Base