As a Data Scientist Lead at JPMorganChase within Consumer & Community Banking Data & Analytics, you will sit at the engine that powers Chase with insights — driving strategy and innovation for Consumer Bank marketing campaigns. You will lead analytics that quantify the effectiveness of marketing investments, optimize multimillion-dollar spend decisions, and influence future campaign strategy through rigorous statistical and business-focused evaluation. This role offers significant learning, collaboration, and mobility opportunities for career development and future growth.

Job responsibilities

• Lead business- and finance-facing evaluation of customer acquisition quality and portfolio investment optimization, partnering closely with finance stakeholders to translate data into actionable strategy
• Design and execute geo-based incrementality test reads to support a robust and extensive incrementality testing framework
• Develop, maintain, and evaluate present value models to support deposit marketing investment decisions and ROI-based portfolio optimization
• Consult on experimental design and data collection strategies, collaborating with stakeholders and cross-functional data and analytics teams to develop innovative analytical approaches
• Interpret and present analytical results, findings, and recommendations to senior management and business partners with clarity and precision
• Provide leadership and mentorship to junior data scientists across the Consumer Bank Marketing Analytics organization, fostering a culture of rigor and continuous learning
• Participate in innovation projects to advance the team's analytical capabilities and drive adoption of more sophisticated methodologies
• Maintain a rigorous controls environment to ensure the accuracy, integrity, and timeliness of analytical outputs
• Collaborate with data professionals across Consumer Bank Marketing Analytics and Test Design teams, championing an inclusive and high-performing team environment

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, such as Python or R
• Experience in finance to support budgeting, forecasting, and ROI and cost-benefit evaluation for business initiatives
• Hands-on experience with A/B and incrementality testing methodologies, including experimental design, statistical significance evaluation, and translating test results into business recommendations
• Demonstrated experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar AI coding assistants to accelerate analysis and code development
• Experience with data visualization techniques for analysis and executive-level presentation
• Superior written and verbal communication skills, with demonstrated ability to present complex findings concisely and effectively to all levels of management and cross-functional partners

Preferred qualifications, capabilities, and skills

• Experience in marketing analytics, with a focus on consumer banking, deposits, or financial services
• Proficiency with Tableau or comparable business intelligence and visualization platforms
• Demonstrated ability to operate independently on unstructured problems, applying a growth mindset and intellectual curiosity to drive innovation
• Strong organizational skills with the ability to manage and prioritize multiple workstreams simultaneously
• Proven ability to build trusted relationships with senior stakeholders and translate business goals into analytical frameworks