Data Science University (DSU) supports growth and leadership in data science, machine learning, and artificial intelligence across UnitedHealth Group by identifying, training, and mentoring top talent in order to unlock enormous value from the largest healthcare data assets in the world. Its core offerings cater to professionals of various backgrounds and positions, including Data Science Academy, for building technical data science talent; Executive College, for providing frameworks and understanding for leadership; an immersion program, for fostering data science literacy; and miniseries, which offer seminars on specific topics like visualization or storytelling.
In the spirit of academia, DSU also focuses on building community—accomplished through data science forums, internal analytics-based conferences, and Surge, a custom-built Kaggle-like platform for data science competition. These three initiatives have fostered communication, collaboration, and efficiency across organizational lines.
External to the company, strategic partnerships have been built out with a variety of corporate and university entities including Intel, the University of North Carolina at Chapel Hill, and the University of Minnesota Carlson School of Business MBA Program. These partnerships have brought forth additional technology, talent, and material for effective data science education.
Marc Paradis explains how DSU was built out over time in an era of rapidly changing analytics technology and capabilities in an industry ripe for disruption, covering the challenges faced and lessons learned. Going forward, DSU continues to produce new and relevant content while looking to the wider healthcare market, ripe for disruption by analytics, to provide industry-specific education.
Marc Paradis vice president and dean of Data Science University (DSU) at UnitedHealth Group, where he has built out DSU to train the next generation of UnitedHealth Group’s data science and machine learning experts in the tools, techniques, and technologies of the discipline as well as in the architecture, content, and ontology of UnitedHealth Group’s uniquely integrated claims, clinical, and pharmacy data assets. Marc’s career has spanned a variety of healthcare companies in data-related roles, where he continuously seeks the unlock the hidden drivers of profit, efficiency, and value by applying the rigor and discipline of the scientific method to business datasets. He holds an SM from Massachusetts Institute of Technology in brain and cognitive sciences.
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