While both roles often require strong math and programming foundations, data scientists frequently come from statistics, mathematics, or domain-specific backgrounds, whereas ML engineers usually have computer science or software engineering educations. For women in tech, programs and mentorship opportunities tailored to these educational paths can support skill development in both areas.
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