Marketing Data Scientist Senior Associate - Consumer Bank

You will help shape how we measure, learn, and optimize marketing for a new Consumer Bank deposit product-turning customer and campaign data into insights that influence strategy and marketing investment.

You will work across the campaign lifecycle, from audience selection and test design to present value analysis and performance reporting, partnering closely with stakeholders and other analytics teams.

Joining JPMorganChase's Consumer & Community Banking Data & Analytics organization places you in a team that powers decision-making with insights, with meaningful opportunities for learning, mobility, and growth.

As a Marketing Data Scientist Senior Associate within the Consumer Bank at JPMorganChase within the Consumer & Community Banking Data & Analytics organization, you will evaluate marketing campaign performance and deliver insights that inform targeting, testing, and optimization decisions.

You will apply statistical and analytical methods to quantify both practical and statistical impact, communicate results clearly to stakeholders, and help drive continuous improvement across marketing measurement and strategy.

Job responsibilities


* Lead analytics strategy, planning, and execution for marketing initiatives supporting a new Consumer Bank deposit product


* Measure campaign performance on a recurring basis and develop clear, actionable performance reporting


* Conduct ad hoc analyses to understand and explain customer behavior and campaign outcomes


* Perform A/B test and incrementality test analyses, translating results into business recommendations


* Deliver profitability, present value, and optimization analyses to guide campaign investment decisions


* Consult on experimental design and data collection approaches in partnership with stakeholders and analytics teams


* Interpret findings and present insights to stakeholders and senior management in clear, concise language


* Participate in innovation initiatives to advance analytics capabilities and measurement approaches


* Collaborate with data professionals across teams while supporting an inclusive, high-performing environment


* Maintain a rigorous controls environment to ensure accurate, timely, and reliable outputs

Required qualifications, capabilities and skills


* Bachelor's degree and Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)


* 3+ years of experience applying statistical methods to real-world problems


* 3+ years of experience using SQL and at least one analytical tool (Python or R)


* 3+ years of experience applying experimentation approaches (e.g., A/B testing, incrementality measurement) to evaluate impact


* Experience developing profitability, optimization, or present value analyses to inform business decisions


* Experience with data visualization and presenting analytical findings ...