Conclusion: Bring together data scientists to discuss the business

[asikurrahmanshuvo]

I agree that data science project is not an individual activity, however, I strongly believe that data scientists can contribute to hypothesis design .

It is relevant to bring to the table the fact that in a field with a talent gap, the balance between industry knowledge and hard data skills can be crucial for successful projects.

Deep diving into business understanding should not be seen as a data scientist going above and beyond their job description. This is not true.

This kind of behavior is an inspiration to finally design the dataset needed for the data science project and also to start another effort on other technical challenges.

Keep in mind that data is just the tip of an iceberg that requires much deeper reflections on business objectives. If you don't engage deeply, you can miss thousands of opportunities.

The effort to frame the business problem is probably the morocco phone number list most visible characteristic I have noticed in various data scientists from different backgrounds.

Of course, it is not just up to the data scientist, but also to the leadership to bring them to the decision-making stage.

To conclude, there are discussions related to data scientist roles being eliminated by new tools that can automatically apply machine learning.

I totally disagree. These tools are probably eliminating roles and writing uninterpreted code, i.e. dealing only with the tip of the iceberg .

Those capable of delving into the ocean may not be easily replaceable. It requires a combination of skills that come into play long before the data does. Data Science is much more than discussing algorithms and fitting models.