Global Analytics is a centralized team in PayPal’s Operations organization. The team is comprised of business analysts, strategy consultants, data scientists, modelers, and statisticians; and is uniquely focused on developing models that feeds in to cross channel customer experience engine that enables customized offers, messaging and action that improves engagement and life time value of a consumer or merchant affecting the PayPal’s 173MM Total Active Customer accounts. The Data Science in Global Analytics team focuses on applicative research, analysis and development of innovative components to grow engagement and life time value of consumer & merchant, specifically in the areas of predictive behavior analytics. Our focus is the analysis of the massive PayPal data, across sales, marketing, product and overall business analytics functional areas with modeling software to crunch it and deliver human-readable insights for business decisions.
Design, develop and manage big data-driven predictive models to solve business problems in PayPal Global Analytics using the latest technologies in machine learning, pattern recognition, and social networks Design best structure and select the most appropriate modeling techniques which include a variety of machine learning algorithms Develop, validate, and maintain advance data mining and machine learning algorithms, tools and other capabilities Collaborate with other research scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques Work with large volumes of data; extract and manipulate large datasets using tools such as SQL, SAS, and Hadoop Analyze data covering a wide range of information from user profile to transaction history. Identify new fraud patterns through data mining Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management
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