Data Scientist

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
12 days ago
Closes
Jul 10, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$97k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,312.

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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At a glance

TL;DR · Data Scientist

As a Senior Data Engineer on the Analytics team, you will develop and interpret complex SQL queries to ensure accurate business logic and reporting. Your day-to-day involves building ETL solutions in Alteryx, automating repetitive tasks with macros, and developing machine learning models using pre-trained endpoints or services like AWS or Azure. You will also manage metadata and data lineage for governance compliance, troubleshoot performance bottlenecks, and build CI/CD pipelines to automate infrastructure deployment. Utilizing Python, SAS, and Tableau, you will blend, cleanse, and transform data to create actionable insights, supporting internal audits and technical reviews while adhering to regulatory controls in the finance domain. This role requires expertise in Oracle SQL, Alteryx, Apache Spark, and ML libraries such as scikit-learn or TensorFlow, with a focus on enhancing operational efficiencies through automation and modernization of legacy solutions.

What you'll do

  • Develop complex SQL queries including subqueries, CTEs, and hierarchical data queries for accurate reporting.
  • Build and analyze ETL workflows to ensure efficient data flow and output accuracy in Alteryx.
  • Validate dashboards against business metrics and reporting requirements using Tableau.
  • Implement machine learning models via pre-trained endpoints or services on AWS/Azure to automate data processing.
  • Manage metadata, cataloging, and lineage for governance and compliance of financial datasets.
  • Troubleshoot performance issues in data environments to meet service level agreements (SLAs).
  • Build CI/CD pipelines to automate infrastructure deployment and code releases.

What we're looking for

  • Master's degree in Data Science, Computer Science, Information Systems, or related field plus 1 year of experience.
  • Design and implement large-scale ETL solutions in Alteryx for data transformation and automation.
  • Develop SQL scripts in Oracle to extract, transform, and analyze complex relational database structures.
  • Automate visualizations and dashboards using Tableau to generate actionable insights from financial datasets.
  • Support the development of cloud-based data pipelines serving pre-trained ML models on AWS or Azure.
  • Process and analyze large datasets using Apache Spark for advanced analytics and intelligent solutions.

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