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> practical knowledge of data science This is key. What do companies actually want when they hire a data scientist? Actionable products that make their business better. What does it take to produce actionable products? A data strategy (collection, ingress, normalize, enrich, store, expose), a compute provisioning strategy, data engineering (pull from source system(s), land in target stores in a reliable, available, automated manner), data science, and data application (reporting, integration with target systems, app development). Which of those components do they typically have? A data scientist. Because they just hired one. Career-wise, the more unifaceted your skillset is, the more you're limited to employers that already have all the other pieces in place. Which effectively limits you to very large enterprise (~T100). Start to be able to fill some of the other roles yourself, and you can compete for and succeed in smaller and more interesting opportunities. |