Short Description
PayPal is seeking for Associate Data Scientist who will design, develop, implement, execute, and monitor scoring models, expert rules and other types of data science by leveraging expert-based methodologies, advanced statistical techniques, and machine learning algorithms, such as regressions, neural networks, decision trees, and etc.Job Description
- Perform data mining, 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.
- 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 for customer life cycle management.
- Design, develop, implement, execute, and monitor scoring models, expert rules and other types of data science by leveraging expert-based methodologies, advanced statistical techniques, and machine learning algorithms, such as regressions, neural networks, decision trees, and etc.
- Perform data-driven as well as expert-driven decision optimization to optimize decision strategies and rules for taking appropriate actions at each customer touch point and at each stage of customer life-cycle to achieve optimal balance between loss reduction, customer experience, revenue optimization and cost of losses.
- Research and develop new methodologies and techniques to improve the overall effectiveness of data science and decision analytics
- Develop and implement data science tools and automation processes to improve the overall efficiency of delivery of data science solutions
Associate Data Scientist