Machine Learning Scientist 3

Join PayPal's Customer Success Data Science team within the Global Analytics Data Science (GADS) organisation, to help build next-gen solutions that meet customer service needs across a variety of channels including Chatbot, Chat, Voice and Self-Service. Our solutions aim to efficiently, effectively, and proactively resolve customer pain points by leveraging AI/ML and bleeding-edge tech, while also equipping our Customer Success Business teams with AI/ML-driven automation, Natural Language Processing models and guided solution workflows. We are seeking a highly skilled and experienced Machine Learning Scientist to join our Customer Success team within the Global Data Sciences organization.

In this role at PayPal, you'll directly impact the business by leading the development of machine learning models and algorithms aimed at enhancing customer satisfaction, retention, and overall experience. As part of the Customer Success Data Science team within the Global Analytics Data Science (GADS) organization, your work aligns with PayPal's commitment to leveraging AI/ML-driven automation and Natural Language Processing models to efficiently resolve customer pain points across various channels. Ultimately, your contributions will empower PayPal to deliver personalized, proactive, and effective customer service solutions, ensuring a seamless experience for our users worldwide.

Your day to day

In your day to day role you will

• Lead the design and development of machine learning models and algorithms to enhance customer satisfaction, retention, and overall experience.
• Utilize statistical and machine learning techniques to analyze customer data, identifying patterns and trends, while collaborating with cross-functional teams to translate insights into actionable strategies.
• Stay abreast of emerging ML technologies and methodologies, conducting research and experimentation to drive innovation within the team.

What do you need to bring-

• Bachelors/Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• 4+ years of experience in Machine/DeeplearningandNatural language processing
• Proficiency in programming languages like Python, as well as in ML Frameworks such as PyTorch
• Strong understanding of machine learning algorithms and techniques, with hands-on experience in model development and evaluation
• Experience with Large Language Models (LLMs) and other transformer-based architectures is preferred
• Proven track record of delivering actionable insights and driving business impact through data-driven decision-making