Data Scientist V Data Engineer? As these roles have become particularly sexy in the IT industry but what are the real differences?
Since I’ve been recruiting in the Big Data space for the past 4 years I’ve noticed Big Data product development shops & the IT industry in general creating this differentiation...
So what do these two roles actually do?
Basically a mathematician who uses a lot of mathematical & statistical modelling to work out what they want the data to do. They’re not hardcore developers so tend to use scripting languages (Python) & statistical tooling like MatLab & R Shiny.
So let's check out a few infographics to highlight the differences....
So I hope that helps explain the differences and no doubt as this fascinating area continues to grow (or should I say scale ;-) other roles will continue to morph.
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I'm Founder & Principal Consultant of Sunstone, an IT Recruitment & HR company specialising in recruiting IT roles within data science, data engineering, software, web, mobile, development & networks in Christchurch & South Island of New Zealand.