Data Science Senior Associate - Onboarding & Engagement Marketing Analytics

JPMorganChase; Columbus (OH); On-site; USD 85,000 - 110,000; Full time

Job summary

JPMorganChase in Columbus, Ohio, seeks a Data Scientist to lead analytics strategies for onboarding and marketing campaigns. The role offers opportunities for professional growth and the use of AI tools to enhance analytical processes.

Candidates should have strong statistical and SQL skills, experience in Python or R, and a Master’s degree in a quantitative field. Join a dynamic Data & Analytics team that creates value and competitive advantages across Chase.

Qualifications

• Master’s degree in Data Science, Mathematics, Statistics, or related field.
• 3+ years of experience with statistical methods and marketing analytics.
• 3+ years of SQL experience, proficiency in Python or R, data visualization.

Responsibilities

• Translate business questions into customer behavior analyses.
• Lead A/B and incrementality testing.
• Build reusable data products that power insights.

Skills

Statistical methods

SQL

Python

Data visualization tools (Tableau)

Communication skills

Education

Master’s degree in a quantitative discipline

Tools

GitHub Copilot

Claude Code

Cortex

Job description

As Data Scientist, you will 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 will 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.

Job Responsibilities

• Translate unstructured business questions into rigorous customer behavior analyses—defining what “success” looks like for onboarding and engagement campaigns and building 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 analyst‑led insights and emerging agentic AI solutions.
• Identify gaps in how we measure, target, or engage customers 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.

Required Qualifications, Capabilities & 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.

Team Overview

The CCB Data & Analytics team leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team spans disciplines from data governance and strategy to reporting, data science and machine learning, and works closely with Technology to provide cutting‑edge data and analytics infrastructure.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, and we provide reasonable accommodations for applicants and employees.