Senior Associate Marketing Data Scientist

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
122 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $172k
$114k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $131,500–$211,525.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Marketing Data Scientist

As a Marketing Data Scientist Senior Associate - Consumer Bank, you will join the Consumer & Community Banking Data & Analytics team to measure marketing performance and optimize portfolio investments. You will lead analytics strategy for Chase First Banking campaigns by conducting ad hoc analyses of customer behavior, executing A/B and incrementality tests, and performing profitability and return-on-investment calculations. Your role involves designing measurement approaches, translating complex data into clear narratives for senior management, and contributing to innovation initiatives for scalable analytics. You will utilize SQL, Python, R, or SAS, alongside AI-assisted development tools like GitHub Copilot or Claude Code. The role requires expertise in statistical methods, experimental design, and data visualization techniques like Tableau to solve problems regarding customer acquisition quality and marketing effectiveness within the consumer bank deposit product area.

What you'll do

  • Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns.
  • Deliver regular campaign performance measurement and reporting to business and finance leaders.
  • Conduct ad hoc analyses of customer behavior and engagement patterns.
  • Execute A/B testing and incrementality test readouts to provide actionable recommendations.
  • Perform profitability, optimization, and return-on-investment analyses to inform investment decisions.
  • Consult on experimental design and develop new measurement approaches with partner teams.
  • Translate complex data results into clear narratives for senior management.
  • Maintain a rigorous controls environment to ensure accurate and reproducible analysis.

What we're looking for

  • Master’s degree in a quantitative discipline such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance.
  • 3+ years of experience applying statistical methods to real-world business problems.
  • 3+ years of experience using SQL and at least one of the following: SAS, Python, or R.
  • Experience using AI-assisted development tools like GitHub Copilot or Claude Code to accelerate analysis and code development.
  • Experience using data visualization techniques for analysis and stakeholder-ready storytelling.
  • Hands-on experience with A/B testing and incrementality testing methodologies including experimental design and significance evaluation.
  • Strong written and verbal communication skills to present insights to stakeholders and senior management.
  • Preferred experience with Tableau.

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