
at J.P. Morgan
Bulge Bracket Investment BanksPosted 3 days ago
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**Data Science Senior Associate - Onboarding & Engagement Marketing Analytics** transforms unstructured business questions into actionable insights to optimize multimillion-dollar marketing investments. This role requires a master's degree in a quantitative discipline or equivalent experience, 3+ years of marketing analytics experience, and proficiency in SQL, Python, and data visualization tools like Tableau. Key responsibilities include defining success metrics for campaigns, leading A/B testing, building reusable data products, and presenting findings to stakeholders. Applicants should possess strong communication skills and comfort with AI tools for accelerated analytics. Based in Ohio, this role offers significant learning, mobility, and career growth opportunities.
- Compensation
- Not specified USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: OH, United States
As Data Scientist, youll own the analytics strategy behind onboarding and engagement marketing campaignsturning data into decisions that strengthen long-term customer relationships and optimize multimillion-dollar marketing investments. Youll 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 multipliernot just to move faster, but to think bigger.
Job Responsibilities-
- Translate unstructured business questions into rigorous customer behavior analysesdefining what success looks like for onboarding and engagement campaigns and building the measurement frameworks to prove it
- Lead A/B and incrementality testingfrom experimental design through interpretation and recommendation
- Build and contribute to reusable data productscurated datasets, features, and pipelinesthat power both analyst-led insights and emerging agentic AI solutions
- Identify gaps in how we measure, target, or engage customers todayand 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
We expect you to challenge existing approaches and leave our analytics better than you found them.
Required qualifications, capabilities and skills:
- Masters 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 problemsdigging 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




