Where Is Data Science Going?
summary
Presents evidence that Machine Learning Engineers and Data Scientists are diverging into specialized roles rather than one replacing the other: LinkedIn 2022 data shows many MLEs come from software engineering, a review of 40 DS and 40 MLE job ads counts more data‑engineering, DevOps and business skill mentions, and several production pitfalls are described (ML technical debt, feature engineering failures in streaming, model‑to‑model dependencies). Concludes that MLEs focus on packaging and operating models while Data Scientists retain responsibility for objectives, feature design and business understanding.
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chapters (7)
- 0:00Introduction
- 4:51Data Scientist role
- 9:46Data Science expertise inflation
- 14:06Data vs ML roles
- 22:14Job offers: DS vs ML Engineer
- 27:17Conclusion
- 27:58Q&A
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