Klaviyo Data Science Podcast

Klaviyo Data Science Podcast EP 35 | How to become a data scientist


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Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

The question is slightly tongue-in-cheek, but only slightly. Data science is a new field — while many people today are graduating with degrees in data science, the same was not true a decade ago. Many of the people who work (and will work) as data scientists were not classically trained as a data scientist, but as something else. This month, we examine that process: the process of working in a field that’s distinct from data science and becoming a data scientist.

We discuss several parts of that journey, including:

  • What attracts someone to data science in the first place
  • How to approach gaining the technical skills you need to get a data science job
  • How similar some parts of the data scientist job are to washing dishes
  • Where do data scientists come from?“You really need to practice using these tools. I did my best to come up with excuses to use data science techniques in all my projects… maybe instead of trying to automate a workflow in Excel VBA, I’d try to automate it in python instead.”
    - Steven Her, Data Scientist


    Read the full writeup on Medium!

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    Klaviyo Data Science PodcastBy Klaviyo Data Science Team

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