Hiring a Data Scientist, Building a Data Science Team and Getting Hired as Data Scientist

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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).

Three Questions That Can Make Data Science “Built to Last”

A Data Head:

Data scientists should ask themselves these three questions everyday!

Originally posted on Melinda Thielbar:

Big data is here to stay. There are too many opportunities to improve our lives, our businesses, and our selves using technology that is declining in cost and rising in value–at least for those who are able to harness it. From individualized medicine, to the Internet of Things, we are generating data with our every breath, and if it’s used in the best way, we are on the brink of a technology revolution that will overshadow the industrial revolution.

The question, then, is: What is the best way?

There’s been a lot of backlash against big data, which Ray Rivera discusses brilliantly in his SAP/Forbes article “Why Big Data is Getting the Bully Treatment.” Like all big changes, the move to data-driven decisions in our offices, in our schools, and in our lives, is frightening. There are hazards (both moral and technical). There’s the problem of what…

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