Data Scientist [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

2d•Onsite

About The Position

This role involves building and managing reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data. A key responsibility is spearheading the migration from on-premises and legacy platforms to modern, cloud-based architectures. The position requires developing and optimizing advanced queries for managing large datasets, ensuring efficient data processing and transformation in cloud environments. It also involves leading the design, prototyping, and strategizing of advanced modeling, predictive analytics, and generative AI solutions for Merchant Services, with a strong focus on data-driven sales. The role includes directing solution architecture and development, collaborating cross-functionally with data scientists, governance teams, data owners, the Chief Data & Analytics Office, and engineering to deliver impactful business outcomes. Additionally, the position will lead product pricing strategy by providing market rate estimates and recommendations that balance client savings with firm profitability, monitor client and overall portfolio profitability, and deliver actionable insights to inform pricing and strategic decisions. It also involves modeling the potential and future impact of network fee changes on product economics, ensuring informed decision-making and long-term financial sustainability. The role requires identifying and developing opportunities to enhance the product's value proposition, managing key client discussions, supporting business development, and analyzing firm-wide economic implications.

Requirements

Master's degree in Information Technology and Management, Computer Science, Business Analytics, Information Systems, or in a related field of study.
4 years of experience in the job offered or as Data Scientist, Software Engineer, Marketing Analyst, Data Analyst, or in a related occupation.
Leveraging understanding of finance, banking, and payments to analyze data and build business intelligence products.
Using SQL to write queries, optimize performance, and manage datasets.
Working in cloud based data platforms including Snowflake and Databricks.
Utilizing productivity and collaboration tools including Bitbucket, Jira, and Confluence for development.
Utilizing Agile development, leveraging Agile and Scrum methodologies to deliver projects.
Orchestrating autonomous Artificial Intelligence agent systems and developing business intelligence products using generative AI and Large Language Models(LLMs) in Python, leveraging prompt engineering, fine-tuning LLMs, and implementing Retrieval-Augmented Generation (RAG) systems.
Designing and implementing statistical modeling using SQL and Python to build predictive analytics and Dynamic pricing models.
Collaborating with data scientists, governance teams, data owners, and engineering teams to develop business intelligence tools.

Responsibilities

Build and manage reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data.
Spearhead migration from on-premises and legacy platforms to modern, cloud-based architectures.
Develop and optimize advanced queries to manage large datasets, ensuring efficient data processing and transformation in cloud environments.
Lead design, prototyping and strategize advanced modeling, predictive analytics and generative AI solutions for Merchant Services, with a focus on data-driven sales.
Direct solution architecture and development, collaborating cross-functionally with data scientists, governance teams, data owners, the Chief Data & Analytics Office, and engineering to deliver impactful business outcomes.
Lead product pricing strategy by providing market rate estimates and recommendations that balance client savings with firm profitability.
Monitor client and overall portfolio profitability and deliver actionable insights to inform pricing and strategic decisions.
Model the potential and future impact of network fee changes on product economics, ensuring informed decision-making and long-term financial sustainability.
Identify and develop opportunities to enhance the product's value proposition.
Manage key client discussions, support business development, and analyze firm-wide economic implications.