What challenges arise when scaling a data science team from a few people to a larger organization? How do you maintain quality and culture while growing?

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Scaling data science teams introduces challenges that do not exist at small scale. Practices that work for three people break down with thirty. Maintaining quality, culture, and effectiveness while growing requires deliberate evolution of processes, structures, and norms.