Data Scientist Associate

JPMorganChase is a financial services company offering banking, payments, and related financial solutions. The Data Scientist Associate will develop AI-driven models, data pipelines, dashboards, and generative AI capabilities for Merchant Services Cost Insights, while providing actionable cost recommendations and supporting internal, external, and custom client analytics applications.

What you'll do:

• 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
• Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
• Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis

What they're looking for:

• Bachelor's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field
• Proficiency in Python and SQL for data processing and analysis
• Expertise in quantitative research techniques and analytics using Python
• Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables
• Knowledge of machine learning/data science theory, techniques, and tools
• Experience in leveraging Large Language Models (LLMs) and agent AI techniques
• Ability to collaborate effectively and cultivate strong partnerships
• Experience in data analysis, data science, or a related field
• Ability to perform rapid prototyping in Tableau and streamlit
• Familiarity with AWS, Snowflake for data management and analysis
• Attention to detail with a proven ability to learn new concepts and skills quickly
• Understanding of quality assurance practices and the importance of data integrity

Benefits:

• Commission-based pay and/or discretionary incentive compensation for those in eligible roles, paid in the form of cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching