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Marketing Data Scientist Senior Associate - Consumer Bank
Marketing
Analyst
Analytics
Business Analytics
Business Intelligence
Consumer Banking
Data
Data Analysis
Data Analytics
Data Processing
Data Science
Data Visualization
Data Viz
Database
Databases
Dataviz
Digital Marketing
Financial Analytics
Marketing Analytics
Portfolio Analytics
R Programming
Reporting and Analytics
SQL
Tableau
Job Description
An onsite opportunity in Columbus, Ohio offers a comprehensive benefits package and a collaborative, data driven culture that values rigorous analysis and practical impact. As a Senior Associate Marketing Data Scientist in JPMorgan Chase’s Consumer Bank, you will focus on measuring marketing effectiveness, building present value models, and turning analytics into strategic recommendations that drive customer acquisition and optimize campaigns. You’ll work with marketing, finance, and analytics partners to turn insights into decisions that shape investment and growth.
Benefits
- Health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
Responsibilities
- Develop, maintain, and assess present value models and the underlying assumptions to evaluate acquisition quality and marketing investment performance
- Provide analytical support for deposit marketing efforts, delivering campaign insights, recommendations, and strategic guidance
- Support portfolio investment optimization and the business-facing quality assumptions that inform marketing spend decisions
- Contribute to finance processes by supplying inputs to budgeting and forecasting, including ROI and cost-benefit evaluations
- Advise on experimental design and data collection, partnering with stakeholders and other Data & Analytics teams to shape strategies
- Interpret analytical results and present clear, concise, and actionable insights to stakeholders and senior management
- Participate in innovation efforts to advance analytical methods while maintaining strong controls to ensure accuracy and timely results
Requirements
- Bachelor's and Master's degree in a quantitative discipline (Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields)
- 3+ years of experience applying statistical methods to real world problems
- 3+ years of experience using SQL for data analysis
- 3+ years of experience using R for analytics
- Experience supporting finance workstreams, including budgeting, forecasting, and ROI or cost-benefit evaluations
- Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
- Demonstrated experience using AI assisted development tools (such as GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
- Experience with data visualization for analysis and presentation
- Strong written, verbal, and presentation skills with experience communicating across levels and partner groups
Technologies
- SQL
- R
- Python
- GitHub Copilot
- Claude Code
- Tableau
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