Data Scientist Senior Associate

JPMorgan Chase & Co.
San Antonio, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Antonio, United States of America

Tech stack

Clean Code Principles
Java
Amazon Web Services (AWS)
Data analysis
Big Data
Cloud Computing
Code Review
Continuous Integration
ETL
Python
Liquibase
Oracle
Software Engineering
Grafana
Spring-boot
GIT
Pandas
Database Migration
Amazon Web Services (AWS)
Containerization
PySpark
Information Technology
Amazon Web Services (AWS)
Data Analytics
Integration Frameworks
Dart
Cloudwatch
Splunk
Docker
Jenkins

Job description

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., * 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

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.

Preferred Qualifications, Capabilities, and Skills

  • 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.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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