Sometimes it feels like everyone thinks data science = just models + dashboards.
But the truth?
The real value of a Data Alchemist is in:
🔍 Framing the problem correctly
🧠 Asking smarter business questions
✂️ Cutting the noise to find actionable patterns
Anyone can run a model. Few can connect it to decisions that drive revenue.
Tools change. But judgment?
That’s your career moat.
Curious — what non-technical skill has helped you most as a data scientist?