What Kind of Data Scientist Are You? Find Out

Have you ever wondered why the job of data scientist has been in so much demand lately? No? The data scientist is one of the most popular jobs of this century. Well, there are reasons for that. In the last decade, companies have generated an enormous amount of data and retained it as well. This huge amount of data is called big data sometimes, and the process we get it through, to bring something out of it is called data science.

What is Data Science?

Data science is a process that consists of four other methods. These methods are data cleaning, data analysis, data modeling, and engineering. There is an enormous amount of data out there, and mostly in unrecognizable formats. In data cleaning, all of this data is cleaned to make it meaningful and worth processing. Data analysis is the process where you try to understand the data and the hidden trends inside it. It is the process where things start getting clear. In the modeling process, all the graphical and statistical representations of data are made, so that other than just professionals can understand it. Tools are available that help you in data modeling. After all three of the previous steps, this is the step where you would give you work out to consumers. By using the results of previous steps, you can build something that people other than professionals can utilize. It could be some charts, visualizations, or even an application.

Professionals are available to perform these tasks, or even a single professional can also complete all of these tasks. The professional to perform these tasks, on his own or with a team, is called a data scientist.

Definition of Data Scientist

A data scientist is a big data handler, who collects and analyzes large amounts of datasets that could be structured or unstructured. We can combine mathematics, statistics, and computer science to create this role. Because what they do is they collect the data, analyze it, process it, and model it, just to pull out some valuable insights. These insights are then used to generate actionable strategies for the betterment of business and organization.

Data scientists look for trends in a large amount of data, and by using their skills, they interpret these trends to make them valuable. There are multiple kinds of data scientists. Let's look more it those kinds.

Kinds of Data Scientists

When we talk about the job of data scientists, it seems quite generic. But it is not the way it looks. The data scientist is not a generic term because not all the data scientists do the same work at a workplace. Their job roles and their salaries are way different than each other, just like their experiences. Here we will look into some roles of data scientists, that will help you analyze what kind of data scientist you are. And, if you want to know more about data scientists and their job roles, you can join our training program.

• Machine Learning Experts

It is a type of data scientists, that is associated with algorithm design and testing. They design predictive systems and monitor them. Data engineers implement their algorithms and systems into the production, and then they are used to trend predictions, demand forecasting, etc.

• Statisticians

In this type, data scientists deal with all mathematics and statistics. It is all about numbers here. They are often assigned with a large number of datasets, and they create charts and build models out of this. These models are of different types, such as deep learning, distribution models, etc.

• Actuarial Scientists

It is a type of data scientists which is very popular nowadays. The main job of actuarial scientists is to how the market is going to set in the future. They also work on the losses and income of the future for organizations. It is not easy to become an actuarial scientist as it requires a very strong background in statistics and mathematics.

• Analyzers

It is a type of data scientists that has the main job of data analysis. For this role, one requires skills like mathematician and statistician. They start their work with data cleaning and end it with data analysis, which is usually a short-term project. This is the most basic thing in data analysis, and you learn it in almost every data science certification.

• Platform Builder

It is the type of data scientist that is responsible to build a platform. A platform usually contains tools that are required to execute the data science project lifecycle. There are distributed systems like Hadoop, and platform builders usually work with them.

• Data Preparer

Data scientists in this role usually work with SQL and other databases. Their responsibility is to keep all the information in the system up to date so that it can be used when required. It is an essential job, keeping in mind the importance of information here.

• Software Programming Analysts

It is a role that requires you to be a pro in logical thinking. They are experts in big data technologies, and they spend most of their time automating tasks that eventually reduces execution time. They pull this off due to their excellent programming skills.

• Quality Analyst

The name speaks for itself. They are the ones to test all the applications, games, and other products, to make sure their quality is not compromised. They check thousands of products in line to find flaws in them if there is any, and then they send them to the releasing phase.

• Data Evangelists

It is the type of data scientists that assist other departments. They make all the decisions about the product and inform the production team about it. They are the ones to make sure everything is on time and place.

There you go with all kind of roles a data scientist can play in an organization. All the works they do and all the skills they need to have. By looking at all the mentioned types, you can determine what kind of data scientist you are. If you are still unsure about anything, you can contact our experts any day.