Sometimes my friends ask me why I have decided to become a data scientist. My answer is almost always short: 'Because it is the most interesting job in IT nowadays'. I have a strong mathematical background from university and I have always wanted to work on unique solutions which bring something new to clients. My first job was an ERP (enterprise resource planning) programmer where I learned a lot from experienced people but I felt that I wanted to try something more interesting than regular programming. That's why I decided to change my position and applied for a data science job.

Each of my first days as a data scientist in a new company was a little surprising for me. I did not know what to expect, what my tasks were going to be, and if I would be able to deliver the solution. Fortunately, my colleges were really helpful and gave me enough time to adapt to the new workspace. After a few weeks, I was able to work almost independently.

That was when I realized that my decision to change position was great. Since then, almost every task has been something new which I had never done before. In these situations, it was helpful to check the solutions for a similar type of problems already solved by my colleagues before in the company repository. This gave me an idea of how to start and what to consider when working on a solution. And that is what I like most about being a data scientist. You get to work on multiple problems for various companies and you have full control over the solution. It is up to you how you solve the problem as long as it brings value to the client. Another big advantage is that you are constantly learning new technologies and you can feel the progress after every finished task.

On the other hand, I also see a hidden pitfall in how fast this branch of science is developing. If you did not keep learning constantly, you could easily lose sight of the latest trends and become a burden for the company.

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