Data Scientist Associate Senior

Job Description
Join us for a unique opportunity to shape data strategy and make a large-scale impact at a leading financial services firm.
As a Data Scientist Associate Senior within the Data & Analytics Data Strategy and Product organization, you will collaborate with internal stakeholders and external suppliers to deliver high-quality external data solutions. You will help modernize data delivery and enable cloud-based publishing, supporting strategic priorities for the firm.
Job responsibilities

• Manage external data cloud publishing requests, ensuring viability, quality, accuracy, and usability.
• Collaborate with engineering teams to modernize external data delivery for analysts and modelers.
• Serve as a technical liaison between product, engineering, and data users.
• Design and implement processes for extracting and refining metadata into data discovery solutions.
• Communicate scope and status of data management and publishing requests to stakeholders.
• Support the refinement of large language model solutions for metadata discovery.

Required qualifications, capabilities, and skills

• Bachelor's degree and three years of experience in data and analytics or equivalent.
• Experience in financial services, data and analytics, technology, or relevant startup environment.
• Strong analytical and problem-solving skills with a determination to become a subject matter expert.
• Ability to communicate business strategy with internal stakeholders and external suppliers.
• Strong project management skills with the ability to manage multiple projects in a team setting.
• Demonstrates detail-oriented work, ensuring accuracy and consistency over time.

Preferred qualifications, capabilities, and skills

• Technical experience in Apache Spark and programming languages such as Python and Java.
• Experience in building data pipelines, data management and experience working with external suppliers and sourcing external data.
• Familiarity with fundamentals of cloud computing and providers such as AWS, Snowflake, Azure, or GCP.
• Familiarity with GenAI solutions and their application in financial services.

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.