AI News, Day in the Life of a Data Scientist

Day in the Life of a Data Scientist

Generally, statisticians are not apt in trending programming languages, data structures, or the advanced areas of computer science and many software engineers may not know as much about advanced mathematical and machine learning algorithms for analyzing, clustering and classifying data.

has led to many disagreements on an formal definition of the term, but speaking with many in the field a typical work day is generally centered around the concept of writing code for mathematical and statistical algorithms, often dealing with “big”

Similarly in data science, a question may be whether there is a need to run an algorithm such as clustering (which may be expensive if it calls for multiple iterations through a large data set) or can we answer these questions with a simpler distance calculation?

Whether all these roles are filled by one person (me) or by a group of people depends on how your team is set up, but as the data scientist I generally have someone I am working with who can provide me with more insight on the data, answer relevant questions and clear up any confusion.

This can be a challenging process for a number of reasons — some similar to the reasons a developer would find debugging stressful, and others because data science often involves working in cloud environments which require some of the standard practices for debugging programs in a traditional environment to be revised.

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