You will closely work with the various world-class data driven e-payment related businesses by using the cutting-edge technologies and advanced data solution. E.g., Risk control, customer services, privacies and etc. You will face the complex big data challenges or problems for fin-tech industry domain, which turns the big data to more valuable business insights, like customer profiling, risk assessment/vetting and so on. You do not only understand the data deeply but also develop the enterprise-level data algorithm and solutions for huge amount of data, various types of data for more business insights.
o Works with PayPal business units and Product Dev teams to design, develop and deliver solutions on one of the largest data platforms in the world.
o Design and develop algorithms / models to support PayPal business units for compliance and risk management, fraud detection, business insights, predictive analysis, etc.
o Design and develop data models and enrich the analytical data sources for further usability and availability with cutting-edge technology.
o Inventing novel models that combine unsupervised and supervised learning, reinforcement learning.
o Developing and adopting deep learning algorithms to exploit novel distributed processor architectures.
o Collaborate with other teams or groups to identify challenges and design solutions.
o Bachelor or above degree in Computer Science or Engineering
o Solid knowledge and experience in software engineering.
o Solid knowledge and experience in machine learning, AI.
o Familiar with data science related frameworks such as scikit-learn, TensorFlow, PyTorch, etc.
o Good understanding of database principles and SQL beyond just data access
o Strong analytical and problem-solving skills.
o Excellent oral and written communication skills in English.
o Experienced in at least one of machine learning areas including natural language processing, image processing, graph learning, etc.
o Master or PhD Preferred
o Expert in multiple programming/scripting languages, including Unix/Linux shell scripting, Perl, Python, C++, Java, Python, Ruby, Scala and etc.
o Familiar with various big data technologies, open source data processing frameworks. E.g., Spark, Hadoop, HBase, Elastic Search, Pig, Hive, and so on.
o Knowledge on the following business domains: Risk, Payments, e-commerce