Data Scientist [Multiple Positions Available]

JPMorgan Chase

Closes in 5 days

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$128,250–$200,000 / yr
Posted
17 days ago
Closes
Jul 2, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $164k
$97k most similar roles pay here $233k

This role pays more than 54% of similar roles. Most pay $126,800–$199,387 — the shaded band above. At the midpoint, this role pays about $164k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Data Scientist [Multiple Positions Available]

As a Senior Data Engineer on the Merchant Services team, you will build and manage reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data, migrating from on-premises systems to modern cloud architectures. Your daily tasks include developing advanced queries for large datasets in Snowflake and Databricks, leading design and prototyping of predictive analytics solutions with generative AI, and collaborating cross-functionally with data scientists, governance teams, and engineering to deliver impactful business outcomes. You will also model the economic impact of network fee changes, support product pricing strategy, and enhance the product's value proposition through dynamic pricing models. Required skills include expertise in SQL, Python for prompt engineering and fine-tuning LLMs, and proficiency with Agile methodologies, Bitbucket, Jira, Confluence, and Snowflake/Databricks. This role focuses on optimizing financial sustainability and strategic decision-making within a large-scale payment processing environment.

What you'll do

  • Build and manage reports and dashboards using business intelligence platforms for payment data analysis.
  • Lead migration of legacy systems to modern cloud-based architectures like Snowflake and Databricks.
  • Develop advanced queries and optimize large datasets for efficient processing in cloud environments.
  • Strategize predictive analytics and generative AI solutions, focusing on enhancing Merchant Services with data-driven insights.
  • Direct solution architecture and development by collaborating cross-functionally across various teams and offices.
  • Lead product pricing strategy by providing market rate estimates to balance client savings and firm profitability.

What we're looking for

  • Master's degree in IT, Computer Science, Business Analytics, or related field plus 4 years of experience.
  • Experience with SQL for query writing and dataset management.
  • Proficiency in cloud-based data platforms like Snowflake and Databricks.
  • Utilization of Agile methodologies (Agile/Scrum) for project delivery.
  • Expertise in developing business intelligence products using generative AI and LLMs.
  • Collaboration with cross-functional teams to deliver impactful business outcomes.

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