If you want to become a data scientist in 2026, this is the video I want you to watch first—because most people start with the wrong mental model. I break down the 7 most asked questions I get about the data scientist career, starting with what we actually do: we use data to predict outcomes and drive decisions. Think about a streaming app like Netflix—your job could be predicting user churn and helping the product team decide what actually improves retention. Then I talk about what’s changing fast in the next 5 years: we’re seeing more product-focused data scientist roles. Yes, coding still matters, but more and more you’re expected to put on a product manager hat—owning outcomes, influencing roadmaps, and thinking beyond the model. I also share what I wish I knew earlier: Python is not data science—it’s a tool. The real foundation is statistics + machine learning, plus the “AI-proof” skills: clear thinking, decision-making with messy data, and communicating impact. Finally, I explain what promotions are based on (technical depth + influence/impact) and answer the big question—yes, data science is still worth it, and it can open doors into AI product and leadership roles. Structured learning matters, and I share options like Coursera to build job-ready skills.