Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. The data scientists in PayPal’s Global Data Science organization (GDS) work to better understand our end-users, identify opportunities and improve our products by creating personal and smart experiences. Making use of PayPal’s endless amount of data, they leverage machine learning skills and domain knowledge to deliver end-to-end Data Science solutions to internal customers throughout this global company. We look to employ folks with sharp analytical skills, a passion for deriving new insights from unimaginable amounts of data, solving unique challenges, and leveraging machine learning algorithms in a highly collaborative, values-driven environment. We are looking for a results-driven people manager with machine-learning experience and excellent analytical and intrerpersonal skils to lead a team in Global Data Sciences focused on building predictive models for merchant risk management. The team’s flagship solutions require innovative approaches to challenges that haven t yet been tackled with ML inside PayPal like global, NLP-driven merchant classification and leveraging new, external data sources for assessments of long-term merchant risk.
In your role as team manager, you will:
Position Requirements
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
PayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.