An engineer’s perspective on engineering and data science collaboration for data products

At Coursera, we’ve built data products whose missions range from facilitating better content discovery to scaling learner interventions to benchmarking learners’ performance of various skills. Each data product is a collaboration among product leaders, business leaders, data scientists, and engineers. Effective data products need effective collaborations between data scientists and engineers.

I think this is one of the hottest areas in all of data: getting the various members of the data team (analysts, engineers, and scientists) collaborating together. And this is one of the best posts I've seen at encouraging that collaboration.



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