Customer Insights Data Scientist Senior Associate

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Plano, TXNew York, NY
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $180k
$126k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $145,200–$214,900.

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 1222 open roles on FindRole.

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At a glance

TL;DR · Customer Insights Data Scientist Senior Associate

As a Data Scientist Senior Associate on the Payments Data & Analytics Customer Insights team, you will lead and execute big data analytics projects to drive product innovation for Merchant Services. You will build customer insights workstreams by framing business problems, defining hypotheses, and delivering recommendations that optimize merchant location strategy and targeted marketing. Your daily responsibilities include developing scalable datasets and pipelines using Snowflake, SQL, and Python while designing and refining prompts to improve AI model performance. You will also drive GenAI solution development by prototyping LLM-powered assistants and agent workflows. The role requires expertise in quantitative research techniques, machine learning theory, and large language models. You will collaborate with stakeholders to ensure data integrity and scalability while translating complex technical results into actionable insights for senior leadership regarding merchant and consumer behavior.

What you'll do

  • Frame business problems, define hypotheses, and design analyses to deliver recommendations with clear commercial impact.
  • Develop scalable datasets and pipelines using Snowflake, SQL, and Python for repeatable reporting and advanced analytics.
  • Design and refine prompts to improve AI model performance and align them with specific business goals.
  • Prototype and iterate on LLM-powered assistants and workflow automations in partnership with product teams.
  • Implement retrieval strategies and agent workflows to translate business needs into functional GenAI solutions.
  • Monitor and update AI model performance to ensure high quality, reliability, and relevance.
  • Collaborate with data engineers and product managers to develop scalable data models and algorithms.
  • Communicate complex insights and recommendations clearly to business stakeholders and senior leadership.

What we're looking for

  • Bachelor's or Master's degree in a STEM or related field.
  • Minimum of 3 years of relevant work experience.
  • Strong programming skills in Python and SQL for data processing and analysis.
  • Expertise in quantitative research techniques and analytics using Python and SQL.
  • Knowledge of machine learning and data science theory, techniques, and tools.
  • Experience leveraging Large Language Models (LLMs) and agent AI techniques.
  • Familiarity with AWS and Snowflake for data management and analysis (preferred).
  • Familiarity with evaluation/monitoring concepts for GenAI solutions (preferred).

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