Data Scientist Senior Associate

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.

Job summary:

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.

Job 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

Required Qualifications, Capabilities, and Skills


* 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 unstruct...