Job Description

Join the Merchant Services Data & Analytics team at JPMorganChase, where we combine data science, research, and business understanding to fuel client-focused innovation. You will apply your technical skills to industry analytics and modern generative artificial intelligence solutions that create measurable impact for Chase Merchant Services clients.

As a Data Scientist Associate at JPMorganChase within Merchant Services Data & Analytics, you will execute analytics projects that generate payments insights and build intelligent solutions that improve payments performance and decision-making. You will partner closely with product, engineering, and business stakeholders to design and deliver end-to-end capabilities, including conversational assistants and workflow automation built with large language models and agent-based patterns.

Job responsibilities

• Conceptualize and deliver analytics and automation solutions that improve business processes and client outcomes
• Build payments insights that help merchants optimize authorization performance, chargebacks, and total cost of payments
• Develop and maintain data pipelines, datasets, and dashboards using tools such as Snowflake, Python, SQL, and Tableau
• Prototype and iterate on generative artificial intelligence features, including prompt design and refinement aligned to user needs
• Design, execute, and document testing and evaluation to validate reliability, quality, and effectiveness of solutions
• Monitor model and solution performance, identify enhancement opportunities, and implement updates to maintain relevance over time
• Partner with data owners, data engineers, and business stakeholders to support development of data models and analytics methods
• Support internal insights applications and external merchant insights experiences, including ad hoc client analytics requests

Required qualifications, capabilities and skills

• Bachelor’s or Master’s degree in a Science, Technology, Engineering, or Mathematics field (or related discipline)
• Minimum of 2 years of relevant work experience in data analytics, data science, or a related role
• Proficiency in Python and SQL for data processing, analysis, and development of repeatable workflows
• Experience applying quantitative research methods and analytics to real business questions
• Knowledge of machine learning and data science concepts, techniques, and common tooling
• Experience working with large language models and agent-based artificial intelligence techniques
• Strong critical thinking and problem-solving skills, with ability to translate goals into clear deliverables
• Strong collaboration skills with the ability to build partnerships across product, engineering, and business teams

Preferred qualifications, capabilities and skills

• Experience with rapid prototyping and data application development using Tableau and Streamlit
• Familiarity with Amazon Web Services and Snowflake for data management and analysis
• Understanding of quality assurance practices and approaches that protect data integrity
• Experience documenting analytic requirements and aligning stakeholders on scope and success measures
• Attention to detail with a proven ability to learn new concepts and skills quickly.