What skills does a data scientist need for 2022?
A.C. – Ok, well, with respect to skills, I’m in my opinion think a data scientist should have a very strong mathematical background in statistics, linear algebra, being familiar with things like significant tests and these kinds of techniques. Of course, programming skills in python, being fluent with libraries like pandas and NumPy. And also, if possible, have some sort of familiarity with machine learning libraries such as Scikit-learn, TensorFlow, Pytorch.
Then is also important to be very familiar with visualisation libraries like Matplotlib, Plotly, Alter or utils like Microsoft Power BI. And you also want to know how to use excel. It might seem funny, but excel can be quite useful for quick checks on your data.
I think one of the most relevant skills is communication, having proper communication skills, and being able to explain complex concepts without being too much technical. That would be my set of skills.
Thank you, Adrián, for sharing your experience and advice with us!
This interview was very helpful in getting to know the challenges and tools associated with being a data scientist on a day-to-day basis.
Adrián is right – data scientists should be familiar with different sets of tools and be always studying and making tests in order to improve.
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