The Near Future of Automated Data Science

The demand for creative, technically-skilled data scientists in the United States is growing at a rapid pace such that—although the demand for data scientists is booming—our ability to train students to fill those jobs is falling behind. There is also a growing concern that technical skill alone is insufficient for long-term data science career success, partially due to the fact that many data science tasks are being automated. A 2015 poll of professional data scientists, that found that, “most expert-level predictive analytics/data science tasks [are expected to] be automated by 2025. To stay employed, Data Scientists should focus on developing skills that are harder to automate, like business understanding, explanation, and story telling.


Danielle Gewurz
Danielle Gewurz
Deloitte Consulting
Shubha Nabar
Shubha Nabar
Faros AI
Monica Rogati
Monica Rogati
Data Science and AI Advisor; fractional CDO; Independent
Horst Samulowitz
Horst Samulowitz
IBM Watson Research Center

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