Data Science Senior Associate - Onboarding & Engagement Marketing Analytics

JPMorgan Chase & Co.•Columbus, OH

About The Position

As Data Scientist, you’ll own the analytics strategy behind onboarding and engagement marketing campaigns—turning data into decisions that strengthen long-term customer relationships and optimize multimillion-dollar marketing investments. You’ll sit in the engine that powers Chase with insights, with significant opportunities for learning, mobility, and career growth. Our team embraces AI as a force multiplier—not just to move faster, but to think bigger.

Requirements

Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field) OR equivalent directly applicable experience
3+ years applying statistical methods to real-world problems (marketing analytics experience preferred)
3+ years of SQL experience, proficiency in Python (preferred) or R, and experience with data visualization tools (Tableau preferred)
Ability to independently troubleshoot and resolve technical, data, and analytical problems—digging into root causes rather than waiting for answers
Comfort using AI tools (e.g., GitHub Copilot, Claude Code, Cortex) to accelerate day-to-day analytics work and as a thought partner for exploratory analysis, pressure-testing hypotheses, and rapid prototyping
Strong written and verbal communication skills, with the ability to articulate results to all levels of management

Responsibilities

Translate unstructured business questions into rigorous customer behavior analyses—defining what “success” looks like for onboarding and engagement campaigns and building the measurement frameworks to prove it
Lead A/B and incrementality testing—from experimental design through interpretation and recommendation
Build and contribute to reusable data products—curated datasets, features, and pipelines—that power both analyst-led insights and emerging agentic AI solutions
Identify gaps in how we measure, target, or engage customers today—and lead the work to close them
Present findings and recommendations to stakeholders and senior management
Partner with Data & Analytics teams and business stakeholders on experimental design and data strategy
Challenge existing approaches and leave our analytics better than you found them.