Real Data: An Analysis of the Data Scientist Audience in 2020

Real Data: An Analysis of the Data Scientist Audience in 2020

An analysis of the data scientist audience uncovers unique interests and characteristics that make this audience unique from others.

By: Michael Brito

Category: Social Data & Analytics

Our analysis uncovered 6 distinct and unique data scientist audiences. This audience was created using bio search with unique self-identifiable key phrases like Data Science, Data Scientist and #DataScience. The below audience analysis only covers 3 of the 6 segments (bolded below). Enjoy.

  • Analyst/Researcher
  • Data & Analytics
  • Journalist/The Media
  • Data Science & Machine Learning
  • Developer & Programmers
  • Professors/Education

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Here’s a breakdown of the unique interests and characteristics of the data scientist audience. This data only represents three of the six clustered audiences from the analysis. We use the audience platform to find 6000 self identified data scientists and were able to dissect their follow relationships and conversations to get a better understanding of who they are and what they care about.

It’s interesting to note that in the below analysis, each of these three audience segments have very different media preferences. If you think about it, it makes sense that professors or those who work in academia and are also a data scientist most likely prefer to read academic type of media. It’s also interesting to see how there are several different types of influencers that are influencing this audience. If you think about the real world, it makes complete sense. Each of us have relationships and our own circle of influence that we rely on to get information and seek advice.

While it is possible to pull this data manually and run an analysis in excel or tableau, it’s more efficient to use an audience intelligence platform like Audiense.

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