Data Science Senior Associate - Onboarding & Engagement Marketing Analytics

JPMorgan Chase & Co.; Kentucky; On-site; USD 90,000 - 125,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Scientist to lead the analytics strategy for onboarding and engagement marketing campaigns. You will transform data into insights that strengthen customer relationships while optimizing multimillion-dollar marketing investments.

Ideal candidates will have a Master's degree or equivalent experience, 3+ years in statistical methods, SQL, Python, and a knack for communicating insights effectively.

Qualifications

• Master’s degree in quantitative discipline or equivalent experience.
• 3+ years applying statistical methods to real-world problems.
• 3+ years of SQL experience, proficiency in Python or R.

Responsibilities

• Translate unstructured business questions into rigorous analyses.
• Lead A/B and incrementality testing from design to recommendation.
• Identify measurement gaps and lead improvements.

Skills

Statistical methods

SQL

Python

Data visualization (Tableau)

AI tools usage

Communication

Education

Master's degree in a quantitative discipline

Tools

SQL

Python

Tableau

GitHub Copilot

Claude Code

Cortex

Job 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.

Job 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

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

Required qualifications, capabilities and skills

• 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