Evolution of the Data Scientist Through the Decade

Evolution of the Data Scientist Through the Decade

Evolution of the Data Scientist Through the Decade

Evolution is the truth of mankind and it’s inevitable. We all are evolutionizing everyday biologically as well as technologically and so do our roles and responsibilities. Here is the summary of evolution of Data Scientist role and it’s hiring trends in industry throughout the decade.

I was invited to be a part of a panel discussion at the recently conducted Cypher analytics Summit by analytics India Magazine. While the topic of the discussion was ‘Key skills for a data scientist”, it was interesting to note that all of us (the panelists) spent a fair bit of time discussing how the skill requirement has changed over time. I think this change in skill requirement reflects the evolution that has happened in the last 10 years in the field of analytics and would make for an interesting read for anyone in the field or looking to get into the field.

I have been a part of the analytics industry for over 15 years now. I started building analytics teams back in 2005. Back then, building a new team meant hiring a bunch of statisticians, economists and mathematicians. We would hire people who had a comfort level with numbers and some basic understanding of statistics. We would then teach them business analytics. This meant a quick refresher of statistical concepts like chi-square, p-values etc. followed by training on SAS (in most cases) or R/Weka/SPSS (in a few cases).

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We would then teach the new recruits to do specific analytics tasks. Marketing Analysts would learn to build market mix models or price promotion models based on the team they were part of.

 



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