The Multiplicity of Data Science
source link: http://econometricsense.blogspot.com/2019/02/the-multiplicity-of-data-science.html
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Sunday, February 24, 2019
The Multiplicity of Data Science
There was a really good article on LinkedIn some time ago regarding how Airbnb classifieds its data science roles: https://www.linkedin.com/pulse/one-data-science-job-doesnt-fit-all-elena-grewal/
"The Analytics track is ideal for those who are skilled at asking a great question, exploring cuts of the data in a revealing way, automating analysis through dashboards and visualizations, and driving changes in the business as a result of recommendations. The Algorithms track would be the home for those with expertise in machine learning, passionate about creating business value by infusing data in our product and processes. And the Inference track would be perfect for our statisticians, economists, and social scientists using statistics to improve our decision making and measure the impact of our work."
I think this helps tremendously to clarify thinking in this space.
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