Two great articles came out about science of Data Science employment. The article How to hire data scientists and get hired as one, is written by Derrick Harris from gigaom.com. Harris gives six tips:
1. Know the core competencies
2. Know a little more
3. Embrace online learning
4. Learn to tell a story
5. Prepare to be tested (aka “Your pedigree means nothing”)
6. Exercise creativity
The second piece is a blog post from Hortonworks and is titled How to Build a Hadoop Data Science Team. This post describes how the skill set of a data scientist is a mix between those of a software engineer and a research scientist (see above graphic).
”Scaling Big Data Mining Infrastructure at Twitter,” is a nice slide show that Alex Popescu posted on his blog, myNoSQL. The slide show is a broad overview the of the data engineering Twitter is doing to make life easier for their data scientists.
In a previous post I highlighted the Silicon Valley startup Ayasdi, a company that designs visualization software for data analysis. I came across this article, which highlights an application of Ayasdi Iris to cancer data.
One reason I started this blog was to create a portfolio of my academic work. I found this article via @KirkDBorne on Twitter, which argues why blogging is good for science students.
Here is a slide show on hiring interviews for Data Scientists. This was presented at Strata 2013 by Daniel Tunkelang, Director of Data Science at LinkedIn.
This is a good article about the changing role of data scientists and data science in the enterprise world.