Bridging the Gap Between Data Scientists and Decision Makers


Everyone seeks to be understood. Whether at home or in the workplace, this is a central part of the human experience. From speaking with hundreds of data scientists, I find that many of them don’t feel like their work is understood by the decision makers at their organizations.

When speaking with IT decision makers, I get the same feeling. Many of them feel like they have highly qualified teams, but their data scientists don’t quite get the business. In this keynote we debunk the common assumptions of both data scientists and ITDMs so they can get the most out of their roles.


As the Head of Data Science at Scouts Consulting Group, Ken spends his workdays improving the performance of athletes and teams by analyzing the data collected on them. He also dabbles in entrepreneurship and content creation, best known for his YouTube channel where he helps over 80,000 people navigate the data science landscape. More recently, Ken is focused on project-based learning through Kaggle. He hopes to share the processes that data scientists take when approaching Kaggle competitions and new datasets. He started the #66DaysOfData challenge to help people create the habit of learning and working on projects every day.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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