Hi all, I’ve been thinking about analytics, data science, and ML roles in the private sector. A lot of tasks—data cleaning, SQL queries, dashboards, even some modeling—can now be automated with AI tools. That makes me wonder: where does the real human value lie? From my perspective, it seems like the high-value work is in the math/statistics-heavy aspects : Designing experiments and models Choosing variables and assumptions Interpreting results and turning them into actionable insights I’d love to hear from people working in analytics, data science, or ML: Do you feel the high-value parts of your work are mostly math/statistics-focused , or more about business judgment, communication, or other skills? How much of your weekly work could AI realistically automate today. For someone strong in math and stats, which skills make them most indispensable in an AI-driven workflow? Looking forward to hearing real-world experiences and perspectives! submitted by /u/Excellent_Copy4646
Originally posted by u/Excellent_Copy4646 on r/ArtificialInteligence