Mistakes to Avoid When Hiring a Data Team

by   |   November 12, 2012 5:28 pm   |   0 Comments

Greta Roberts, CEO of Talent Analytics

Organizations who are hiring data scientists should avoid a few common mistakes like requiring Ph.Ds, focusing solely on skills or hiring arrogant data rock stars.

Talent Analytics CEO Greta Roberts said curious minded people are often self taught, and don’t get advanced degrees. Communication is an important skill, but not every data scientist needs to be a great communicator. Business sense, Roberts said, is much more important.

These are some of the insights gleaned from the survey of data scientists and thought leaders Talent Analytics conducted over the summer. The survey, called the 2012 Analytics Professionals Study, will be available in full in December and will help businesses understand and value the essential data science skills and traits in their employees and recruits.

In part two of this interview with Data Informed Staff Writer Ian B. Murphy, Roberts discusses what elements of business acumen are important for a data scientist, what to look for when interviewing for a data analyst position and what traits aren’t important as they seem. (Podcast running time: 13:35)

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