What is a Data Scientist?
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How does he work?
The Data Scientist must transform raw data into actionable insights using machine learning algorithms.
It must be on many fronts. Curious, he must be alert to new techniques. He must be able to devise plans of attack. Collect relevant data. But above all, it is a job that requires great intellectual agility. Its work of cross-referencing data and its strength of elaboration will make it possible to respond to individual problems.
What does it code?
This professional usually works on behalf of companies. He is mostly asked to work in B2B. In order for the professional to establish the ideal algorithm, a company will explain its current problem. Through this, the Data Scientist will need to collect the data collected by the company. Thanks to this data, the he will develop a most advanced and adapted solution thanks to these 4 main steps:
Data cleaning and storage
Data processing
Analysis and production of predictions
Communication of results
Data Scientists in a nutshell
Today, there are several ways to access this profession. The most conventional voice remains the university path. There are many courses up to the baccalaureate +6 that allow access to this field of expertise. Mathematics, computer science, statistics… These different courses are still more suitable for certain types of profiles than others.
Working in data science requires a great deal of curiosity. In addition, it is necessary to have a sense of rigor and unfailing organization. Being in data science is being in the future. Indeed, this profession is one of the professions of the future.
