Data Science vs Engineering: Tension Points

Domino recently had a panel with four excellent guests, and this post does a great job of summarizing it. The intersection of DS / DE continues to be where some the most interesting stuff is happening, and these folks are on the cutting edge. Overall, the panel seems to believe that these two teams are getting closer together, and in some cases are being combined:

...we’ve ended up bringing in people who could bridge data science and engineering. We’ve called the team “product engineering” that includes people who know how to build machine learning models, know how to do data science, have a bit of product intuition, and know how to put things into production.

This is very good news for practitioners trying to solve real problems.


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