Machine learning projects are proliferating, and more and more data - 2.5 quintillion bytes of data each day - is required to power them. Understanding what practitioners think about the technology they're pioneering is important. To that end, for the fourth straight year, we've taken the pulse of the data scientist community and are excited to share the results with you in our annual Data Scientist Report. In this year's report, we cover:

Diego leads the design and implementation of supervised learning systems at Hello Digit. He specializes in building scalable perpetual-learning pipelines leveraging human-in-the-loop techniques. Randi is a storyteller, mom, knitting enthusiast, Kellogg and Dartmouth grad, and VP of Marketing at CrowdFlower, the human-in-the-loop platform for data science and machine learning teams making AI work.