Data scientists primarily analyze data, build predictive models, and generate insights to guide business decisions. ML engineers, on the other hand, focus on deploying machine learning models at scale, optimizing algorithms, and maintaining the infrastructure that supports these models. For women in tech, understanding these distinct roles helps tailor career paths according to interests—whether in analysis and research or engineering and systems.

Data scientists primarily analyze data, build predictive models, and generate insights to guide business decisions. ML engineers, on the other hand, focus on deploying machine learning models at scale, optimizing algorithms, and maintaining the infrastructure that supports these models. For women in tech, understanding these distinct roles helps tailor career paths according to interests—whether in analysis and research or engineering and systems.

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