To become a data scientist, is it better to be a generalist or a specialist?

The answer: you need to be both.

There is a very broad set of requirements to work as a data scientist, and you need familiarity with all of them to do the job:

* Data loading
* Data manipulation
* Feature engineering
* Model selection
* Model tuning
* Model evaluation
* Coding
* Visualization
* Report creation
* Presenting
* Business acumen
* Etc

What you also need:

👉 One area of specialization where you bring unique expertise to the team.

Data science is a team sport, and in order to build an effective team, you need complimentary skills that lift the team above the sum of its parts.

Each individual should be able to function on their own, but also contribute a unique skills set to the team.

👉 Agree or disagree?

#datascience #teams #aspiring #DataScientists

❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN