Data Scientist Lead - Branch Channel Analytics

We have an exciting opportunity for you to enhance your career in Branch Channel Analytics, contributing to innovative banking solutions.

As a Data Scientist Lead at JPMorgan Chase within the Data and Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objective

Job Responsibilities:

• Serve as the subject matter expert on machine learning techniques and optimizations to drive sales enablement and performance analytics for Chase’s branch network.
• Design, develop, and enhance ML workflows to support sales strategies, customer segmentation, campaign effectiveness, and branch performance optimization.
• Conduct experiments using advanced ML and statistical methods, analyze results, and tune models to deliver actionable insights for sales and customer engagement.
• Actively engage in hands-on coding, converting experimental results into robust, scalable production solutions.
• Take full ownership of the code development lifecycle in Python, from proof of concept and experimentation to production-ready solutions.
• Collaborate with business partners, product managers, and technology teams to integrate ML solutions into branch operations and sales processes.

Required Qualifications, Capabilities, and Skills

• Masters  in Computer Science, Statistics, Mathematics, Data Science, or a related field, with at least 8 years of applied data science and machine learning experience.
• Hands on experience in one or more programming languages such as Python, R, or Java. Intermediate to advanced Python proficiency is required.
• Proven experience applying machine learning techniques to solve business problems in sales analytics, customer analytics, or financial services.
• Strong background in statistical modeling, data mining, and machine learning methods (e.g., regression, classification, clustering, time series analysis, ensemble methods).
• Experience with machine learning and deep learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Ability to independently manage tasks and projects through to completion with limited supervision.
• Excellent communication skills, with the ability to present complex ML concepts to non-technical stakeholders.
• Strong attention to detail and a collaborative, team-oriented mindset.

Preferred Qualifications, Capabilities, and Skills

• Experience in sales enablement analytics, marketing analytics, or branch/channel performance analytics within banking or financial services.
• In-depth understanding of advanced ML methodologies such as customer segmentation, campaign attribution, recommender systems, uplift modeling, and graph analytics.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and tools for building and deploying ML models (e.g., Sagemaker, Databricks, MLflow).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and data engineering best practices.
• Software development experience is a plus.

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.

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.