Data Scientist: The Sexiest Job of the Century 10 Years Later - Still Sexy?
summary
Claims that talent—more than data or process—is the biggest scaling hurdle, and that a second generation of grads plus new roles (data engineer, ML engineer, analytics translator) changes hiring dynamics. Recommends data literacy programs, self-service BI and citizen data scientists using AutoML or DataRobot to offload routine work, cites a corporate training provider reporting a 91% completion rate and estimates about half a year part-time to train a citizen data scientist.
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chapters (13)
- 0:00Start
- 5:23The 1st generation of data scientists
- 6:32The dilemma of business leaders
- 8:13The evolution of data job roles
- 8:54The 2nd generation of data scientists
- 9:50The democratization of data skills
- 10:59Evolving department experts to Al & analytics translators
- 12:32Establishing self-service business intelligence
- 13:23Upskilling employees to citizen data scientists
- 14:16How can we help implementing these strategies?
- 15:00Innovative upskill and reskill programs, tailored for the needs of businesses
- 15:44Germany's leading training provider
- 16:24Key take-aways
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