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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 286 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.
At PayPal Global Data Science(GDS) team, we develop machine learning platform and AI applications to improve PayPal’s global business. Machine learning and AI is one of the core competitive advantage of PayPal, which significantly reduced payment risk loss, brought million dollars’ revenue and expanded to multiple domains rapidly. As an engineer in GDS, you will work closely with analytical team, understand the requirement with cutting-edge algorithm, contribute to the core platform, make the research work to a real product. We are looking for strong technologist who is able to continuously deliver AI solutions in scalable way and is passionate to leverage various technique to solve business problems.
Roles and responsibilities
1. Design and build data infrastructures and tools leveraging Big Data industry standards and cutting edge frameworks to enable data scientists to research and deliver analytical solutions via self-service
2. Work side by side with data scientist to address technical issues to enable them to extract meaningful and actionable insights from PayPal data.
3. Lead analytical projects from inception through research, development and all the way to production on PayPal’s data processing infrastructure
Qualifications:
• B.Sc. (or above) in computer sciences.
• 3-10 years working experience, preferably in an Internet company.
• 3+ years’ experience in JAVA/Scala. Python experience is a plus.
• Solid foundation in common design patterns, algorithms and data structure.
• Solid knowledge on database(SQL/NOSQL)
• Familiar with Linux, Bash and Network.
• Experience in developing high performance, high scalable distributed systems is a big plus.
• Experience in Big Data, AI, Machine learning, data analysis and so on is a big plus.
• Experience in front-end development is a plus.
• Experience in high concurrent, high scalable microservice is a plus.
• Deep understanding of software engineering best practice, capable of working in a global distributed engineering team.
• Excellent communication skills, Fluent in English, both written and oral.
• Quick learning capability under rapid changing environment.
• Can-do attitude and be willing to challenge the status.
• Strong business sense and analytical ability.