It's hard to resist the sparkly nirvana that big data, leveraged appropriately, promises to those who choose to embrace it. You can transform your business, become more relevant to your customers, increase your profits and target efficiencies in your market all by simply taking a look at the data you probably already have in your possession but have been ignoring due to a lack of qualified talent to glean value from it.
Enter the data scientist - arguably one of the hottest jobs on the market. The perfect candidate is a numbers whiz and savant at office politics who plays statistical computing languages like a skilled pianist. But it can be hard to translate that ideal into an actionable job description and screening criteria.
This article explains several virtues to look for when identifying suitable candidates for an open data scientist position on your team. It also notes some market dynamics when it comes to establishing compensation packages for data scientists.