Enterprise
Machine Learning

Creating Context for Data Scientist and Developer Collaboration

In this report, we drill down into the developer and data scientist demographic from our 2019 State of Data Science survey of 5,000 users. From the data we find key differences and similarities between the two roles, including:

  • Tool preferences
  • Coding background
  • Model delivery techniques

In this report we address how these roles overlap in the data science life cycle and how we overcome tool diversity to ensure collaboration.

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