Data Scientist-1

PayPal

Shanghai, China

Full-time

May 20

This job is no longer accepting applications.

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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Job Description Summary:

Position performs sophisticated analytics on customer activity and usage patterns and other internal and external data and other operational information from data warehouses and business processes and apply advanced behavior profiling, statistical techniques, machine learning algorithms, and expert-based methodologies to create and operationalize decisioning logic and solutions.Job Description:

  • Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
  • Working with partners to translate business challenges into Data Science problems
  • Data mining and extracting information in PayPal’s Big Data environment
  • Analyzing various kinds of data and concluding actionable insights
  • Independent research and innovation in new content and technological domains, while supporting existing projects
  • Broadening the analytic playing field by using a wide range of research tools and methods, including applying scientific knowledge


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