Overview
As the business landscape evolves, the role of data scientists is changing dramatically. Originally, data scientists bridged the gap between computer science, statistics, and business decisions. However, “New World” companies are now built to use data for every decision, eliminating the gaps that “Old World” companies face.
Key Points
- Old vs. New World Companies: Old World companies must retrofit their systems for data analysis, while New World companies are designed to leverage data from the start.
- Evolving Job Titles: The traditional data scientist role is becoming obsolete as New World companies use more specialized, smaller teams.
- Future of Data Competency: Old World companies need more than just hiring data scientists to transition; they must fundamentally change their data infrastructure and strategy.
Conclusion
The title “data scientist” is becoming outdated in the New World, where data-driven decision-making is embedded in the company’s fabric from the ground up. Old World companies must undergo significant changes to remain competitive, beyond just adding data scientist roles.