Data Scientist Senior Associate

JOB DESCRIPTION

As a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will help manage and advance the data infrastructure that powers analytical work across CB Marketing. The data products you support enable analysis behind marketing efforts that acquire millions of accounts each year, giving you the opportunity to make a meaningful impact at scale.

You will help maintain and evolve our primary marketing analytics data product, ensuring that trusted, useful, and well-documented data assets are available to analysts and decision-makers.

You will coordinate a roadmap to automate, enhance, and modernize this ecosystem; identify new upstream data sources; increase adoption of existing assets; uncover important gaps; and stay current on emerging AI capabilities that could improve data science and analytics workflows.

Job responsibilities

• Help manage the roadmap and ongoing development of the primary data product used by Consumer Bank Marketing Analytics
• Support the broader CB Marketing data infrastructure, balancing day-to-day reliability with longer-term automation, enhancement, and modernization priorities
• Build, maintain, document, and monitor reusable team data assets with strong controls for data quality, lineage, consistency, and reliability
• Identify and evaluate new upstream data sources, partner with source-system owners, and translate emerging marketing and analytical needs into scalable data solutions
• Develop new ways to deliver useful, accessible data to analysts and business partners, improving speed to insight and reducing duplicative work
• Maintain a clear inventory of available data assets, educate the team on their purpose and appropriate use, drive adoption, and identify gaps that limit analytical capabilities
• Apply knowledge of marketing attribution and the customer journey to ensure data assets support accurate measurement of channel, campaign, and initiative performance
• Create visualizations and narratives that explain the health, coverage, usage, and business value of the data ecosystem to technical and non-technical stakeholders
• Stay current on emerging AI capabilities that could affect data science and analytics, identify relevant use cases, and help incorporate practical opportunities into the team's innovation roadmap

Required qualifications, capabilities and skills

• Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
• 3+ years of experience building, maintaining, or managing shared data assets, analytical data products, or data infrastructure used by multiple analysts or business teams
• 3+ years of experience using SQL and at least one of Python or R
• Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
• Working knowledge of marketing attribution concepts, including how customer interactions, channels, campaigns, and conversion outcomes are connected in data
• Experience organizing or contributing to a roadmap or backlog for data products, automation, platform enhancements, or modernization initiatives
• Strong organizational and project management skills, with the ability to prioritize competing needs, manage dependencies, and drive work from concept through implementation and adoption
• Experience partnering with upstream data providers and downstream users to gather requirements, resolve data issues, and deliver scalable solutions
• Strong understanding of data quality, documentation, lineage, controls, and the practices required to maintain trusted team data assets
• Experience using data visualization and storytelling techniques to explain complex data concepts, communicate value, and influence technical and business stakeholders
• Strong written and verbal communication skills, including the ability to educate users, facilitate cross-functional decisions, and translate business needs into data requirements

Preferred qualifications, capabilities and skills

• Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
• Exposure to consumer banking, marketing analytics, marketing measurement, or customer-level data
• Familiarity with cloud data platforms, reusable data models, metadata management, or data catalog tools
• Experience with Tableau or a comparable business intelligence and visualization platform

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity

Employer/Disability/Veterans

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.