*2027 : RIP 💐Data Scientist* Model building is but one facet of a data scientist's role 🪦 The core has always been translating business requirements into data problems, effective cross-functional collaboration, and delivering actionable insights that solve real-world challenges. The emergence of GenAI, LLMs, sophisticated coding co-pilots, and platforms like MCPs is undoubtedly shifting our workflows and capabilities. However, the pivotal question remains unchanged: Is your work generating meaningful impact? Technological stacks evolve; the analytical rigor and problem-centric approach are what sustain a data scientist's value.