Data Scientist Senior Associate

JPMorgan Chase & Co. • Columbus, OH

6h

About The Position

As a Data Scientist Senior Associate on the Consumer Bank Marketing Analytics team, you will help manage and advance the data infrastructure that powers analytical work across Consumer Bank Marketing. The data products you support enable analysis behind marketing efforts that acquire millions of accounts each year, offering the opportunity to make an impact at scale. You will maintain and evolve the primary marketing analytics data product so analysts and decision-makers have access to trusted, useful, and well-documented data assets. You will coordinate a roadmap to automate, enhance, and modernize the ecosystem; identify 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.

Chase is a financial services firm whose mission is to create engaged, lifelong customer relationships and help households, small businesses, nonprofits, and cities achieve their financial goals. The Consumer & Community Banking division provides services including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. The CCB Data & Analytics team uses data across Chase to build business advantages while providing value and protection for customers, in partnership with Technology and its data and analytics infrastructure.

The company offers a competitive total rewards package, including a base salary determined by role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity. Benefits and programs are eligibility-based, and further details will be provided during the hiring process.

Requirements

• Bachelor’s degree in a quantitative discipline, such as Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related field.
• At least 3 years of experience building, maintaining, or managing shared data assets, analytical data products, or data infrastructure used by multiple analysts or business teams.
• At least 3 years of experience using SQL and at least one of Python or R.
• Demonstrated experience using AI-assisted development tools, such as 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, including prioritizing competing needs, managing dependencies, and driving 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 practices for maintaining 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 educating users, facilitating cross-functional decisions, and translating business needs into data requirements.

Nice To Haves

• Master’s degree in a quantitative discipline, such as Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a 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.

Responsibilities

• Help manage the roadmap and ongoing development of the primary data product used by Consumer Bank Marketing Analytics.
• Support the broader Consumer Bank 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 an 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 explaining the health, coverage, usage, and business value of the data ecosystem to technical and non-technical stakeholders.
• Stay current on emerging AI capabilities relevant to data science and analytics, identify use cases, and help incorporate practical opportunities into the team's innovation roadmap.

Benefits

• Competitive total rewards package.
• Base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior