Marketing Data Scientist Senior Associate - Consumer Bank

Join a team that measures what works in marketing and turns insights into smarter decisions. You will help shape how we evaluate customer acquisition quality, profitability, and return on investment across Consumer Bank deposit marketing. Here, your work directly influences how we invest and how customers experience our products—at meaningful scale.

As a Data Science Senior Associate at JPMorganChase within Consumer & Community Banking Data & Analytics, you will lead business- and finance-facing measurement of marketing performance, with a focus on customer acquisition quality and portfolio investment optimization. You will partner closely with marketing, test design, and stakeholder teams to design sound measurement approaches, interpret results, and translate findings into clear recommendations. You will operate with a strong controls mindset, producing accurate, timely, and reproducible analyses that improve both customer and business outcomes.

Job responsibilities

• Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns

• Deliver regular campaign performance measurement and reporting

• Conduct unstructured, ad hoc analyses of customer behavior and engagement

• Execute A/B (split) and incrementality test readouts, including interpretation and recommendations

• Perform profitability, optimization, and return-on-investment analyses to inform investment decisions

• Consult on experimental design and data collection, developing new measurement approaches with stakeholders and partner teams

• Translate results into clear narratives and present insights to stakeholders and senior management

• Contribute to innovation initiatives that advance analytics methods and scalability

• Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment

• Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results

Required qualifications, capabilities, and skills

• 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 business problems

• 3+ years of experience using SQL and at least one of the following: SAS, Python, or R

• Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development

• Experience using data visualization techniques for analysis and stakeholder-ready storytelling

• Hands-on experience with A/B (split) and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations

• Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups

Preferred qualifications, capabilities, and skills

• Intellectual curiosity and motivation to build deep subject matter expertise in a focus area

• Strategic thinking with an ability to stay anchored to measurable business goals

• Strong organization skills with the ability to prioritize multiple workstreams effectively

• Strong relationship-building skills and comfort partnering with key stakeholders

• Tableau experience preferred