PayPal Machine Learning Scientist Intern 

China, Shanghai 

122972574

Your day-to-day:

1. 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.
2. Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud and credit risks and other types of behaviors.
3. Design, develop, implement, execute, and monitor scoring models, expert rules and other types of decision analytics to detect fraud risk and credit risks by leveraging expert-based methodologies, advanced statistical techniques, and machine learning algorithms, such as regressions, neural networks, decision trees, and etc.
4. Perform data-driven as well as expert-driven decision optimization to optimize risk decision strategies and rules for taking appropriate actions at each customer touch point and at each stage of customer lifecycle to achieve optimal balance between loss reduction, customer experience, revenue enablement, and cost of losses.
5. Research and develop new methodologies and techniques to improve the overall effectiveness of decision analytics and decision management

What do you need to bring:

• Master’s Degree or above in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
• Capable of independently working on a Machine Learning project with guidance.
• Clear analytical mindset and deep understanding of Machine Learning
• Code writing capability in common programming language for Data Science(Python is a must. Preferably with SQL/Scala/Java) and familiarity with relevant ML packages (TF, Pytorch, etc.).
• Familiarity with Linux environments is a plus.
• Hadoop experience (MapReduce, PIG, Hive, Spark/Pyspark) – an advantage

• Experience in the NLP/CV domain is a plus