Data Scientist Senior Associate

JPMorgan Chase & Co.•San Antonio, TX

About The Position

DART (Data, Analytics and Reporting Team) serves as a provider of data, analytics, and automation solutions for functions within the Consumer and Community Banking Operations. As a global team with a presence in the United States, India, and the Philippines, this role offers the opportunity to develop cutting-edge solutions and the necessary infrastructure to support them. The position involves collaboration with various stakeholders and management levels to ensure the delivery of the most effective solutions. As a Data Scientist Senior Associate in the DART (Data, Analytics and Reporting Team), you will be responsible for setting up future ready solutions and related infrastructure.

Requirements

Bachelor’s degree with 7+ years or Master’s with 5+ years of relevant experience in a quantitative field (e.g., Computer Science, Engineering).
Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python, and migrate legacy ETL to cloud-native solutions.
Develop and maintain data integrations with Oracle databases and AWS RDS; familiarity with Liquibase for database migrations.
Write secure, high-quality code following best practices and engineering standards; experience with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS.
Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git; participate in code reviews, testing, and CI/CD pipeline maintenance.
Gather, analyze, and draw conclusions from large datasets to support decision-making.
Participate in production support and incident response as needed; knowledge of observability tools such as Splunk or CloudWatch.
Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
Strong problem-solving mindset, excellent communication skills, highly organized, intellectually curious, and able to work independently on unstructured problems.

Nice To Haves

Experience in financial services or highly regulated industries.
AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) and experience migrating legacy ETL processes to cloud-native solutions.
Experience in financial services or highly regulated industries; AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) preferred.
Proficiency with Java, Spring Boot, and hands-on experience with data processing frameworks such as PySpark and Pandas.
Familiarity with Liquibase for database migrations and knowledge of observability tools like Splunk or CloudWatch.
Strong problem-solving mindset; excels at solving unstructured problems independently.
Intellectually curious, strategic, and eager to learn with a focus on business goals and innovation and Highly organized, able to prioritize multiple tasks, and strong communicator who builds effective relationships with stakeholders.

Responsibilities

Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python
Write secure, high-quality code following best practices and engineering standards
Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS
Develop and maintain data integrations with Oracle databases and AWS RDS
Partner with business stakeholders to gather requirements and translate business needs into technical solutions
Participate in code reviews, testing, and CI/CD pipeline maintenance
Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git
Gather, analyze, and draw conclusions from large datasets to support decision-making
Participate in production support and incident response as needed