Biography

Pennsylvania State University - Statistics

Leading Product Experimentation Research at Netflix
Entertainment
Martin
Tingley
Los Gatos, California
Experienced data science and applied statistics leader, team builder, mentor, and teacher, with stints in tech, re/insurance, and academe. Specializing in developing and implementing actionable solutions in big-and-messy-data settings, including video streaming optimization, product development, complex re-insurance settlements, and natural hazard risk modeling. Experience building and leading teams of data scientists and applied researchers.

I currently lead research and development on experimentation methods for the Netflix Product team. We are tasked with improving the decision making frameworks for A/B (and other) tests aimed at improving the member experience, including tests on our core algorithms and the Netflix UI.

In an earlier role at Netflix, I led Streaming Video Experimentation, where we used a combination of statistical modeling and large-scale experimentation to optimize the streaming experience for our more than 100 millions customers around the globe.

Prior to joining Netflix, I spent two years as the Principal Statistician for the Natural Perils Research Group at Insurance Australia Group in beautiful Sydney, Australia. At IAG, I led major projects to model and price natural perils risk for insurance and reinsurance applications, including the development of claims-based pricing models.

Before my private sector journey began with IAG in June 2015, I was an Assistant Professor in the departments of Statistics and Meteorology at Penn State University, where I conducted fundamental research in statistical climatology. Much of my work made use of hierarchical statistical models and Bayesian inference. The full list of my academic publications is available at Google Scholar: goo.gl/FukV7z