Data Scientist Vice President - Consumer Bank Marketing Analytics

Are you a data scientist who thrives at the intersection of advanced analytics, business strategy, and measurable impact? At JPMorganChase, we believe the best insights don't just inform decisions - they transform them.

Join a team where your work helps shape how we acquire and retain customers, and where you can grow your career alongside the impact you create.

As a Vice President, Marketing Analytics Data Scientist at JPMorganChase within Consumer and Community Banking Data and Analytics, you will lead analytics that quantify marketing effectiveness, optimize multimillion-dollar investment decisions, and influence campaign strategy through rigorous statistical evaluation.

You will partner closely with marketing, strategy, and finance stakeholders to translate results into clear recommendations that improve customer and business outcomes.

Job responsibilities


* Analyze customer quality metrics, including customer lifetime value (CLV) and incrementality, to inform return on investment-based portfolio optimization


* Lead matched market and geographic A/B tests by designing the testing approach, running analyses, and delivering recommendations on marketing effectiveness


* Develop and maintain customer lifetime value and discounted cash flow (DCF) frameworks to evaluate different customer acquisition segment types


* Translate analytical findings into clear, actionable business recommendations and decision-ready narratives


* Partner with finance on budgeting, forecasting, and cost-benefit analyses for marketing initiatives


* Collaborate across marketing analytics, test design, strategy, and finance teams while championing an inclusive, high-performing culture


* Present results, tradeoffs, and recommendations to senior leaders with clarity and precision


* Provide leadership and mentorship to junior data scientists, promoting rigor, high standards, and continuous learning

Required qualifications, capabilities and skills


* Formal training or certification on data science concepts and 5+ years applied experience


* Bachelor's and Master's degree in a quantitative discipline such as data science, analytics, mathematics, statistics, physics, engineering, economics, finance, or a related field


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


* 5+ years of hands-on experience with SQL and at least one analytical programming language (Python or R)


* Experience supporting finance workstreams, including budgeting, forecasting, and return on investment and cost-benefit evaluation


* 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 to accelerate analysis and code development


* Experience with data visualization for analysis and executive-level pres...