Data scientists can work in a variety of companies ranging from those for whom data are their major product such as LinkedIn, AirBnB or Uber, to those for whom data are a by-product to increase their business – for example to analyze online traffic, marketing or find new insights. With the multitude of job descriptions and requirements, it can be difficult to find a way to transition to data science. We here list three steps to become a data scientist. It is tailored for those who are already in science or software engineering, but can generally be followed by others as well.

How did you become a data scientist? Which steps are missing? Please comment below!

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