Job Description

This role performs sophisticated analytics and machine learning models on customer activity, usage patterns, especially contact conversational data , and apply advanced behavior profiling, LLMs to develop and product ionize data science solutions.

: What you need to know about the role- Meet our team Global Analytics & Data Sciences (GADS) serves as PayPal\'s enterprise Analytics & Data Science Solution(s)/Service(s) provider, consists of different vertical and horizontal sub-portfolios including consumer, merchant, risk, credit, customer operation etc. Customer Service is a portfolio under GADS supporting Global Customer Service (GCS) to enable effortless experience for both our customers and teammates. We are developing the AI/ML solutions that help to contribute to CS domain business KPIs like contact rate, call transfer rate, agent average handling time, resolution rate and Net Promote/Effort Score, and empower the customer service related products like Help Center, Chatbot, IVR and all Teammate tools. Your way to impact- We are looking for an enthusiastic and talented a machine learning engineer/scientist to work on machine learning & NLP development solution for designing and developing language understanding systems for using text representation techniques more efficiently. If you have exceptional skills and passion in both Large Language Model development and machine learning algorithm, we\xe2\x80\x99d like to meet you! In this role you will work with a talented engineering and data science teams to develop a state-of-the-art data science conversational AI , NLP, ChatGPT based solutions that will enable multiple customer service products, while also having the opportunity to research latest machine learning techniques in industry and academic and then bring into PayPal data scientist community. Your day to day \xe2\x80\x93

• Design, develop, implement, execute, and monitor scoring models, solutions by leveraging expert-based methodologies, advanced statistical techniques, and machine learning algorithms, such as GBT, neural networks, deep learning etc.
• Design and develop language understanding systems for using text representation techniques more efficiently. Dealing with speech patterns, AI speech recognition, identifying and generating natural languages, etc.
• Working with Customer service and platform partners to translate business challenges into data science problems
• Independent research and innovation in new content and technological domains, while supporting existing projects
• Broadening the machine learning playing field by using a wide range of research tools and methods, including applying scientific knowledge

• 4+ years\xe2\x80\x99 work experience as a Machine Learning Engineer/Scientist or similar role.
• Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
• Passionate to learn the state-of-the-art machine learning framework and algorithm in academic and industry.
• Proven experience in employing mathematical, statistical and machine learning methods on real world problems
• Proficient in data mining and familiar with SQL, BigQuery, Python, etc.
• Conceive, design, and develop NLP applications.
• Code writing capability in any programming language (Python, R, Java, Scala, etc.) and familiarity with relevant ML packages.
• Think outside of the box. Willing to have both hard work and have fun.
• Ability to work in a team and highly collaborative
• Industry experience in customer service domain is a plus.
• Working experience in multi-national company is a plus.
• Exceptional written and verbal English communication skills to influence cross-functional teams.