Today’s technological progress has changed our understanding of all aspects of life – from social roles and employability skills to trendiest professional choices. In our newest series Job of the week we are going to present to you some of the most searched and highest paid positions in the IT sector that emerged in the 21st century. 

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Job of the week: Data Scientist

If you read through the description of a job offer for a Data Scientist, you will probably come across requirements such as software development skills, data mining, experience in the field of statistics and econometrics, as well as in scripting machine learning algorithms. If you combine all of the above you will end up with the profile of a professional Data Scientist.  

Data science is among the top searched keywords for working abroad. According to a recent report by Glassdoor – one of the most prestigious international recruitment websites - Data Scientist or Big Data Scientist rank among the top 50 best jobs in the United States. 

Reasons for that are quite simple: in the Cloud age companies tend to generate enormous amounts of data (or so called “big data”). Then they need to hire specialists to extract valuable information and to answer business driven questions. The profession of a Data Scientist hence combines a variety of multi-disciplinary skills – mathematical logic, data analytics, and programming. 

Understandably high-tech companies such as Google, Amazon, Netflix and Uber rely heavily on data to run their businesses, but they are not the only ones. Most of the economic activities in banking, aviation, and manufacturing nowadays depend on big data analysis and the search for specialists in the field is on the rise. 

To have a career in data science, you have to be able to answer questions coming from all areas of life. This is what makes the job very dynamic. For example, some of the queries that can be answered with the help of big data are: 

Which clients of a certain company are most inclined to switch to a competitor’s product? 

What movies to recommend to a user based on their search history? 

How much should a product cost after six months? 

Where in a photograph are there faces? What type of emotions do they show? 

How to filter out automatically spam from actual e-mails? 

Through analysing huge quantities of big data these specialists are able to create and develop complex data models and algorithms that serve to predict certain behavioural patterns and repetition of given results. 

If you would like to explore the possibilities to work as a Data Scientist, don‘t miss to visit our website where you can find all of the currently open positions:.....….