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Imposter Syndrome in Data Science Practitioners
Data science practitioners often experience imposter syndrome due to the nature of their work. Unlike software engineering where products work once built, data science projects often have room for improvement and never achieve 100% perfection. Stakeholders constantly have ad hoc requests, making data scientists hesitant to seek promotion despite their practical experience and achievements.