Given the vast amount of data available internally and externally nowadays, a lot of business insight and value can be extracted with modern techniques in machine learning, statistics and software engineering. The Data Science team at MassMutual was built to fulfill this mission of efficient data-driven decision making through cutting-edge science and applied research. It’s been three years since its inception and now it’s a full-fledged department serving almost every part of our business.
As one of the lead data scientists in the team, on behalf of his manager Sears Merits who runs the department, Peng is going to introduce the whole team---how it is structured, what everybody does, and most importantly, what kind of business problems they are addressing and how effective those methods are. Some projects in his domain will be elaborated, such as fraud detection, lapse prediction and sales forecasting.
1. How MassMutual’s Data Science team is structured and what is the role of everybody.
2. What kind of business problems the data science team are addressing.
3. How fraud detection, lapse prediction and placement rate prediction are done.
AVP, Lead Data Scientist,
MassMutual Financial Group
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