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# Data Science Senior Associate - Onboarding...

- **Company:** JPMorgan Chase & Co.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, ARM Architecture, Data Visualization, Python (Programming Language), Rapid Prototyping Process, Standard Sql, Tableau (Software), GitHub Copilot, Data Strategy, Data Analytics
- **Published:** July 2, 2026
- **Apply:** https://www.juju.com/job/00000000gdn48d

## About the Role

+ 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

## Description

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., + 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

We expect you to challenge existing approaches and leave our analytics better than you found them.


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