David Steier

Former Continuing Lecturer

By appointment (online)


Analytics, Big Data, data visualization, data mining, health care informatics, fraud detection, anomaly detection, machine learning, human-computer interaction, artificial intelligence


David Steier co-instructs the data science capstone class in the Masters in Information and Data Science program. He is also a Distinguished Service Professor in Carnegie Mellon University's Heinz College School of Information Systems and Management, where he teaches courses on data science for product management, managing analytics projects, data management, designing smart systems and artificial intelligence.

Prior to joining CMU, David was Managing Director in Deloitte Consulting's Data Science practice. At Deloitte, David helped clients use advanced data analytics and visualization in a variety of industries including health care, banking, retail, manufacturing, telecommunications, media and the public sector. Prior to Deloitte, David was Director in the Center for Advanced Research at PwC, Senior Director of Technology and Business Development at Kanisa, and Managing Director at Scient.  Beyond the general topics of data science and artificial intelligence, David's research interests are in data-driven approaches to behavioral change, particularly in health and wellness.