What Does a Data Scientist Do?

As a data scientist, you are responsible for data cleansing in a company and help management through systematic data analysis in making economic decisions.

Here we explain exactly what tasks a data scientist has and what training you need for them.
 

Definition: What is a Data Scientist?

A data scientist is a person who has the necessary knowledge to systematically evaluate large amounts of data and to derive the appropriate knowledge from it.

For this purpose, the data scientist primarily uses methods and approaches from IT and mathematics, such as probability theory or statistics.

The data scientist has a great responsibility because a lot can depend on his results for companies in the future. Therefore, he must also be able to understand and explain business contexts.
 

 

How do you become a Data Scientist? Requirements and skills

Are you interested in the Data Scientist job? But you are not yet sure what training you need and what you have to be able to do? We have the answers.
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Training & studies

More than 20 universities in the US and Austria currently offer data science courses. Most of them are Master’s degrees.

Data science is also already integrated as a focus in a number of computer science courses.

The classic course is not the only possible way: Anyone who is already a statistician, mathematician, engineer or economist or works in a related profession can acquire specific skills that are necessary for the profession of a data scientist with appropriate further training and courses.

Trainee programs also offer the opportunity to acquire relevant qualifications.
 

Qualifications & skills

If you want to be successful as a data scientist, you should definitely meet certain requirements for the degree. This includes analytical thinking, a basic interest in business administration, and a certain amount of curiosity and creativity.

In order to gain a foothold in professional life, you should acquire knowledge in the following subject areas during your training:

• Analysis
• Data Management
• Information Design and Entrepreneurship
• Recognize and seize market opportunities

 

What are the tasks of a Data Scientist?

In everyday work, the Data Scientist has to deal with a wide variety of tasks:

During the data search, the data scientist analyzes which data is already available and which data can still be obtained from different sources.

During data cleansing, the data is processed by the data scientist for subsequent analysis. The main thing is to condense the individual data into tables and graphs.

To find out how the required information can be extracted from the existing data, the data scientist performs a so-called offline data analysis and then transfers the results to a productive system for online analysis.

The Data Scientist acts as a consultant to the company management and tries to support strategic business decisions by compiling decision templates for the management. Therefore, he must also be able to present the insights gained in a way that can be understood by someone who does not have the necessary expertise.
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How much does a Data Scientist earn?

As a Data Scientist, you earn an average of $7,708 a month in the US. Depending on your professional experience, company size, and region, you can earn up to $11,542 as a data scientist.
 

Potential industries for data scientists

Nowadays, large amounts of data are evaluated in every industry, which is why you are wanted as a data scientist in every industry.

You will mainly find differences in the salary: On average, you earn more in mechanical engineering than in logistics.
 

 

Application as Data Scientist

When applying as a data scientist, your professional experience plays a major role: How well do you know about data cleansing? Who and how long have you already worked for? Do you have a talent for presentation and are you interested in logic and mathematics?

It is best to attach a portfolio to your application.
 

Conclusion

The data scientist was selected by the Harvard Business Review as the “Sexiest Job of the 21st Century”. This may sound like an exaggeration at first, but high starting salaries and a shortage of skilled workers mean that there is currently a high demand for data scientists in almost all industries.

• The data scientist evaluates large amounts of data and derives appropriate knowledge from it.
• He should be able to think analytically and have a fundamental interest in business contexts.
• He examines which data is available, cleans it up, extracts the required information, transfers it to an analysis system, and prepares it in an understandable manner for management.

So if you have the appropriate knowledge and are motivated to acquire additional knowledge through courses or studies, the job of a data scientist is a good choice.
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