How to Build Successful Big Data and Data Science Teams

Bernard Marr Hiring for big data and data science teams continues to be difficult, as the gap between the supply of qualified, experienced data scientists and the demand for them remains large. To build a strong, successful big data and data science team, organizations should focus less on finding candidates whoare “perfect” on paper and direct their efforts more toward putting together a group that is greater than the mere sum of its parts. The key is to create the full skills mix among team members, not necessarily within each individual. The three main roles that any big data or data science team should include are as follows: Business analyst. This role existed long before big data, and people in this role continue to perform an important function. They have…


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