Data Scientist Lead

JOB DESCRIPTION

We have an exciting opportunity for you to advance your data science career and shape the future of AI-driven analytics.

As a Data Scientist Lead in the Card Analytics team, you design and implement end-to-end data and AI solutions that drive commercial impact for our clients and customers. You collaborate with agile teams to deliver innovative analytics and generative AI use cases, focusing on digital analytics and customer journey.

Job responsibilities

• Learn our business and how we deliver value for clients globally
• Identify opportunities to grow our Cards business using technical skills and curiosity
• Build and rigorously test new data and AI-driven insights
• Develop scalable frameworks for seamless AI model integration across business applications
• Build and test AI agents, iterating designs to enhance functionality and user experience
• Create data pipelines and dashboards using Databricks, Python, Tableau, and Alteryx
• Monitor AI model performance and implement updates to maintain quality and relevance

Required qualifications, capabilities, and skills

• Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) and nine years applied experience in AI/ML or data science
• Understanding of AI models, including large language model capabilities and limitations
• Experience with statistical analysis, data-driven decision-making, and pattern identification
• Familiarity with AI/ML model evaluation and relevant metrics
• Experience with Python and SQL
• Exposure to cloud platforms such as AWS, GCP, or Azure, and Software Development Life Cycle concepts
• Strong communication and collaboration skills with the ability to work effectively in teams

Preferred qualifications, capabilities, and skills

• Experience in data analysis, data science, or related fields
• Familiarity with AWS and Databricks for data management and analysis
• Understanding of quality assurance practices and the importance of data integrity
• Awareness of big data technologies such as Spark and distributed computing concepts

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.