What does a data scientist do on a daily basis? Share your experience and hear from experts

I’ve found this to be one of the more misunderstood questions among aspiring data scientists. A LOT of folks believe that they’ll be working on building and tweaking models all day - which simply isn’t the case (for most of us anyway!). I personally find myself working with all sorts of messy data which means data cleaning takes up most of my time.

What has your experience been like? Or what do you feel it should be? Would love to hear the thoughts of the community.

This thread is inspired by the below article which covers 5 answers from leading data scientists. Each answer brings a different perspective to the table. A data scientist’s role is truly a multi-faceted one!

Check out the article here:

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I spend most of the time in cleaning the data. And before that, the time also goes in understanding the business process behind it. The main analysis comes later may be covering 20 to 30 of the project time.

Most of the time I spend involves figuring out what I need to do and how I need to do.

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60% of the time getting, cleaning and engineering the data.

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