Data scientist might be the sexiest job of the 21st century, but it’s hardly an easy gig to land. Here is some advice from practitioners at Netflix, Orbitz and Hortonworks on how get hired and even do the hiring.
I didn’t find more from Netflix and Orbitz online, but here’s the Hortonworks blog about How to build a Hadoop data science team?
Data scientists are in high demand these days. Everyone seems to be hiring a team of data scientists, yet many are still not quite sure what data science is all about, and what skill set they need to look for in a data scientist to build a stellar Hadoop data science team. We at Hortonworks believe data science is an evolving discipline that will continue to grow in demand in the coming years, especially with the growth of Hadoop adoption. This role requires experience and knowledge in math, statistics and machine learning, programming and scripting, as well as visualization techniques
And last but not least, a view from the inside, from a statistics guy, about the challenges of interdisciplinary working in this area – Statistics and the Science Club:
We are discovering that we can either teach people to apply the statistical methods to their data, or we can just do it ourselves! […] However, I think as a field, we desperately need to promote both kinds of people, if only because we are the best people for the job. We need to expand the tent of statistics and include people who are using their statistical training to lead the new science. They may not be publishing papers in the Annals of Statistics or in JASA, but they are statisticians. If we do not move more in this direction, we risk missing out on one of the most exciting developments of our lifetime.