Join the JPM Payments Data & Analytics' Merchant Services Cost Insights team at JPMorgan Chase, 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 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 that automate repeatable tasks, creating efficiencies in business processes to drive value and growth. You will engage in projects that integrate data science, research, and business domain expertise, focusing on cost-based analytics, business intelligence, data engineering, and visualization. Utilizing tools such as Snowflake, Python, and Tableau, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.

Job Responsibilities

Lead the 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. Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed. Build and test AI agents. 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. Work on agile teams to support data-driven decision-making and client relationship management.

Required Qualifications, Capabilities, and Skills

Bachelor’s or Master's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field. 3 + years experience in Python and SQL for data processing and analysis. Strong problem-solving and critical thinking skills. Experience in data analysis, data science, or a related field. Experience in leveraging Large Language Models (LLMs) and agent AI techniques. Ability to automate repeatable tasks to enhance business process efficiencies.

Preferred Qualifications, Capabilities, and Skills

Familiarity with AWS, Snowflake for data management and analysis. Understanding of quality assurance practices and the importance of data integrity. Knowledge of machine learning/data science theory, techniques, and tools. Awareness of big data technologies (e.g., Hive, Hadoop, Spark) and distributed computing concepts like MapReduce.