As AI and machine learning become hot topics beyond tech circles, the role of the data scientist is more crucial than ever. For our 2017 Data Scientist Report, we polled 200 data scientists across a variety of industries to learn how they spend their time, gauge job satisfaction levels, and identify obstacles to success.
This year, we’ve included data on data itself: what kinds of sources data scientists work with, how much, and where it comes from. We also dive into the relationship between data and algorithms. And, as AI becomes a part of the larger cultural conversation, we ask data scientists to comment on some of the biggest trends in AI with some particularly important insights into their concerns about ethics and the future of AI.