Data Scientist Lead

Drive the future of data-driven decision making-join us to transform raw information into actionable insights that power our understanding of the economy, the rapidly evolving AI landscape, and fuel business innovation.

The Center for Economic Intelligence (CEI) is a new organization that monitors, coordinates and develops a holistic internal & external view of the financial well-being of consumers and businesses through the lens of JPMorganChase and third-party data.

As the nation's largest bank, we are uniquely positioned to inform public perspective on the direction of the economy.

During a time of unprecedented macroeconomic uncertainty and rapid AI-driven disruption, identifying emerging trends and economic relationships is of heightened importance.

As a Data Scientist Lead within the Center for Economic Intelligence team, you will be a key strategic and technical partner in driving end-to-end data science execution-from data curation, analytics and modeling to insight generation-in collaboration with economic domain experts and cross-functional stakeholders.

You will use the latest LLM models to power code development, statistical analysis, visualization and narrative development of macroeconomic and financial data while using proprietary JPMC tools along with capabilities enabled through leading data platforms (e.g., Snowflake, Databricks, AWS, etc.).

This role will have two main responsibilities:

AI Disruption Monitoring (~50%): Help stand up a new workstream to develop high-frequency monitoring of holistic AI-relevant trends, inclusive of customer dynamics, market effects, and beyond.

This work requires both strong technical execution (building pipelines, integrating data sources, designing analytical framework) and strategic thinking to help shape the research agenda and identify the highest-signal indicators.

You will own the technical design and analytical execution while serving as a thought partner on research priorities.

Local Economic Intelligence (~50%): Advance our existing Local Impact workstream, by developing scalable, high frequency assets that unlock intelligence to local decision-making and storytelling for both the business and our cross-sector partner ecosystem.
This individual should have a demonstrated track record of delivering complex analytical projects autonomously, staying ahead of the curve on technology and tool adoption, have a self-starter mentality, strong working knowledge of the AI and GenAI landscape and/or local economic development landscape, and a demonstrated ability to navigate a matrixed organization and drive progress across complex stakeholder environments.

Job Responsibilities:


* Plan and execute complex analytics projects from inception to delivery in partnership with other data scientists, economists, product owners, and strategists on the team


* Design and build data pipelines and monitoring systems that integrate large, complex, and often unstructured datasets, transform...