Data Scientist Associate - Payments

Join the JPM Payments Data & Analytics' Merchant Services Cost Insights team at JPMorganChase, where we leverage data science, research, and business acumen to promote client-focused innovation.

Apply your technical skills to projects involving cost-based analytics and cutting-edge GenAI and agentic AI applications, creating impactful solutions for Chase Merchant Services clients.

As a Data Science Associate in our Merchant Services Cost Insights team, you will play a pivotal role in developing AI-driven models and GenAI/agentic AI solutions that automate repeatable tasks, creating efficiencies in business processes to drive value and growth.

You'll engage in projects that integrate data science, research, and business domain expertise, focusing on cost-based analytics, business intelligence, data engineering, and visualization.

Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers, including chat assistants and workflow automations powered by LLMs and multi-agent patterns.

Our team supports both internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.

Utilizing tools such as Snowflake, Python, and Tableau, you will develop data pipelines and dashboards, prototype and iterate on new generative AI capabilities and features, and ensure the quality, integrity, and reliability of our intelligent solutions through testing, evaluation, and monitoring.

Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.

Job Responsibilities :

• Creation of chat assistants using multi-agent AI workflows.
• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance.

Work with subject matter experts to align prompts with business goals and user needs.
• Provide merchants with actionable recommendations to enhance their cost strategies.
• Iterate designs to enhance functionality and user experience.

Conduct rigorous testing for reliability and effectiveness.
• Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards.

Support AI-driven insights and decision-making.
• Monitor AI model performance.

Identify areas for enhancement.

Implement updates to maintain quality and relevance.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms, including requirements and success metrics for GenAI/agentic workflows.
• Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.

Required Qualifications, Capabilities, and Skills :

• Bachelor's or Master's Degree in Science, Techno...