Senior Marketing Data Scientist, Consumer Bank

Salary: $61,000 - 101,000 per year Requirements:

• We require a bachelors and masters degree in a quantitative field such as Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related discipline.
• We look for 3+ years of experience applying statistical methods to real-world business problems.
• We require 3+ years of experience using SQL for data analysis.
• We require 3+ years of experience using R for analytics.
• We need experience supporting finance workstreams, including budgeting, forecasting, and return-on-investment or cost-benefit analysis.
• We require hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance assessment, and translating findings into business recommendations.
• We expect demonstrated use of AI-assisted development tools such as GitHub Copilot, Claude Code, or similar to speed up analysis and code development.
• We need experience with data visualization for analysis and presentations.
• We value strong written, verbal, and presentation skills, with the ability to communicate effectively across levels and partner groups.
• Preferred: 3+ years of applied experience using Python.
• Preferred: experience in marketing analytics, including customer acquisition and campaign measurement.
• Preferred: experience building data visualizations for analysis and presentations, with Tableau preferred.
• Preferred: ability to solve unstructured problems independently while keeping strong stakeholder alignment.
• Preferred: strong strategic, organizational, and relationship-building skills to balance multiple initiatives and deliver business goals on time.

• We create, maintain, and evaluate present value calculations and related assumptions to assess acquisition quality and investment performance.
• We provide analytical support for deposit marketing initiatives, including campaign insights, recommendations, and strategic direction.
• We contribute to portfolio investment optimization and business-facing quality assumptions that shape marketing investment decisions.
• We support finance processes by supplying inputs to budgeting and forecasting, including ROI and cost-benefit evaluations.
• We advise on experimental design and data collection, working with stakeholders and other Data & Analytics teams to refine strategies.
• We interpret analytical outcomes and present insights to stakeholders and senior management in a clear, concise, and actionable way.
• We participate in innovation efforts to advance analytical methods while maintaining a strong controls environment to ensure accurate and timely results.

• AI
• Claude Code
• Copilot
• GitHub
• Support
• Machine Learning
• Marketing
• Python
• SQL
• Tableau

More:

We are partnering with J.P. Morgan through hackajob to find exceptional professionals for this Consumer Bank Marketing Analytics Data Scientist opportunity within Consumer & Community Banking Data & Analytics. In this role, we focus on improving marketing effectiveness, investment decisions, and customer acquisition quality for deposit marketing initiatives using experimentation and present value modeling. We are part of Chase, a leading financial services firm serving nearly half of Americas households and small businesses with a broad range of financial products. Our team offers a competitive total rewards package, including base pay, potential incentive compensation, and benefits such as comprehensive health care, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. We value diversity, inclusion, and reasonable accommodations, and our Consumer & Community Banking and Data & Analytics teams are known for combining strong customer focus with advanced data, reporting, data science, and machine learning capabilities.

last updated 37 week of 2026