DART (Data, Analytics and Reporting Team) serves as the primary provider of data analytics and automation solutions for all 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 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 PythonWrite secure, high-quality code following best practices and engineering standardsCollaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECSDevelop and maintain data integrations with Oracle databases and AWS RDSPartner with business stakeholders to gather requirements and translate business needs into technical solutionsParticipate in code reviews, testing, and CI/CD pipeline maintenanceApply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and GitGather, analyze, and draw conclusions from large datasets to support decision-makingParticipate 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 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.