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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Additional Resources

How to Communicate Business Impact
Get the Guide
9 Best Practices Every Data Science Leader Should Follow
Get the Guide
2020 State of Data Science
Get the report
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