Job Description
Join a team where your analytics directly shape how we grow and deepen customer relationships. You will help us understand what drives deposit growth—from account opening through retention—so we can make smarter investments and deliver better customer outcomes.
As a Lead Data Scientist at JPMorganChase within the Consumer Bank Marketing Analytics team, you will set the analytics strategy for deposit portfolio growth, partner closely with business leaders, and translate complex analyses into clear, actionable recommendations. You will also lead and mentor a diverse team of data professionals and help build an inclusive, high-performing culture across Marketing Analytics and Test Design.
Job responsibilities
- Own the end-to-end analytics strategy and operating rhythm for deposit portfolio growth analytics, including account opening and attrition drivers
- Partner with stakeholders to define business questions, success measures, and analytical approaches that inform strategic decisions and investment choices
- Lead the design, execution, and interpretation of experiments, including consultation on experimental design and data collection approaches
- Build and enhance analytical solutions using SQL and modern statistical or machine learning techniques to deliver scalable insights
- Translate results into clear narratives and executive-ready materials, presenting findings to senior leaders, including the Chief Marketing Officer
- Drive innovation by identifying and delivering advanced analytics initiatives that improve measurement, targeting, and decision-making
- Mentor and develop junior data scientists through coaching, technical guidance, and feedback, serving as a subject matter expert in deposit growth dynamics
- Maintain a strong controls mindset to ensure accurate, timely, and well-governed analytical outputs
Required qualifications, capabilities, and skills
- Bachelor’s and Master’s degree in a quantitative discipline (for example: Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, or Finance)
- Five or more years of experience applying statistical methods to real-world business problems
- Five or more years of experience writing SQL for data extraction, transformation, and analysis
- Five or more years of hands-on experience with at least one analytical tool (SAS, Python, or R)
- Experience building compelling data visualizations and communicating insights through clear, structured storytelling
- Demonstrated experience using AI-assisted development tools (for example: GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
- Strong written, verbal, and presentation skills, with experience communicating effectively to partners and leaders across levels
- Proven ability to lead workstreams from problem framing through delivery, including prioritization, stakeholder alignment, and quality control
Preferred qualifications, capabilities, and skills
- Marketing analytics experience, especially in acquisition, onboarding, retention, or customer lifecycle analytics
- Demonstrated ability to solve ambiguous, unstructured problems independently and turn them into practical analytical plans
- Strategic, business-outcome orientation with a track record of influencing decisions through data
- Strong relationship-building skills and ability to partner effectively across functions and teams
- People leadership experience, including hiring, mentoring, and developing diverse talent in an inclusive environment
- Experience in tableau and python preferred.