Data scientists typically excel in statistics, data analysis, and visualization tools, with proficiency in languages like Python or R. ML engineers require a stronger software engineering background, including coding best practices, software architecture, and experience with cloud platforms and containerization. Women pursuing either field should evaluate their strengths and passions to choose the best fit.
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