Data science is becoming a catch-all title for roles that range from building dashboards to designing deep learning models. I've worked in analytics for six years and seen job postings demand both practical modeling and full-stack engineering, which is unrealistic for a single role. Clearer subfields like machine learning engineering or business analytics would set better expectations, but the blurry umbrella term creates confusion for both employers and newcomers — is a specialized path actually more valuable than a broad title?