About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 233 roles with salary data.

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At a glance

TL;DR · Data Scientist Lead, Payments

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As a Data Scientist Vice President at JPMorgan Chase’s Merchant Services Cost Insights team in New York, you will lead the creation of innovative solutions that enhance client-focused innovation through data science and business intelligence. Your day-to-day responsibilities include collaborating with experienced peers to develop cost-based analytics and GenAI applications, supporting agile teams for data-driven decision-making, and managing stakeholders. You will also design end-to-end AI solutions, refine prompts for AI assistants, and ensure continuous improvement of these systems in production. The role requires proficiency in Python and SQL, familiarity with Snowflake and Tableau, and knowledge of machine learning techniques and big data technologies like Hive and Spark. This position offers the chance to work on diverse projects that impact clients and customers across multiple products such as Payment Insights and Digital Merchant Insights, contributing to a dynamic environment at one of the world’s leading financial institutions.

Skills

Python Snowflake Tableau SQL GenAI Machine Learning Hive Hadoop Spark MapReduce CI/CD Big Data Distributed Computing Quality Assurance Data Visualization Data Integrity Software Development Life Cycle

What you'll do

Develop innovative cost-based analytics and GenAI applications.
Design end-to-end AI solutions from problem framing to delivery.
Create data pipelines and dashboards using Snowflake, Python, and Tableau.
Refine prompts and interaction patterns for AI assistants to align with business goals.
Lead the iterative development and continuous improvement of GenAI solutions.

What we're looking for

Minimum 6 years experience in data science or related field
Proficiency in Python and SQL for data processing and analysis
Familiarity with Snowflake, Tableau, and big data technologies like Hive and Spark
Strong problem-solving skills and critical thinking abilities
Knowledge of machine learning theory and tools
Experience leading the development of AI solutions from framing to delivery
Understanding of software development lifecycle and quality assurance practices