From the course: Data Science Team Lifecycle Management

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Key principles for managing data scientists for a mid-sized company

Key principles for managing data scientists for a mid-sized company

From the course: Data Science Team Lifecycle Management

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Key principles for managing data scientists for a mid-sized company

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- Leading a successful data science team is challenging no matter the organization size but mid-size companies have a unique set of challenges requiring a unique set of management skills. Let's take a look at a few of those skills to help maximize success for mid-size companies specifically. Mid-size companies are unique in that they require more processes and operational scaffolding than small companies, but adding too much too soon can cause the company to suffocate under the weight of those processes. So an important concept to understand right away is that you have to "rightsize" the operations accordingly. When managing data scientists for mid-size companies, there are at least three things you should be mindful of. First, in a mid-size company, you're likely to add layers to the organizational structure, unlike a startup which typically has more of a flat hierarchy. But be careful. Don't create too many layers too…

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