AI Data Scientist Lead — Generative AI & Analytics

J.P. Morgan; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorganChase’s Wholesale Payments Data and Analytics team seeks an AI Data Scientist Lead to design end-to-end AI solutions, build data pipelines, and develop dashboards using Snowflake, Python, and Tableau.

You will collaborate with data owners and engineers, prototype generative AI features, and ensure the quality and reliability of intelligent solutions with testing and monitoring.

Qualifications

• Master’s degree in STEM or related field.
• Proficiency in Python and SQL for data processing and analysis.
• 6+ years of relevant work experience in data analytics and AI.
• Experience with LLMs and agent AI techniques.
• Strong problem-solving and collaboration skills.

Responsibilities

• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to align with business goals and user needs.
• 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
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.

Skills

Python

SQL

LLMs

Agent AI

Critical thinking

Data analysis

Collaboration

Education

Master’s Degree in STEM

Tools

Snowflake

Tableau

Python

SQL

Job description

JPMorganChase’s Wholesale Payments Data and Analytics team seeks an AI Data Scientist Lead to design end-to-end AI solutions, build data pipelines, and develop dashboards using Snowflake, Python, and Tableau.

You will collaborate with data owners and engineers, prototype generative AI features, and ensure the quality and reliability of intelligent solutions with testing and monitoring.