8 Best Practices for Working with Your Data Science Vendor — from Data Scientists

When you leverage data science expertise from outside your company for a project, you face a multi-layered challenge. There’s likely to be a gap in domain knowledge between your in-house experts and the data scientists, existing workflows that won’t readily accommodate new processes and meanwhile, the lack of a common working language can obscure essential details. These potential obstacles can add up like a snowball, potentially hurting productivity and leaving you with results that fall short of your expectations.

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Eszter Windhager-Pokol is head of data science at Starschema and visiting faculty instructor at CEU.