Data Scientist Associate
Aumni
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 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 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.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
Build your career in Data scientist while working in the world’s most innovative bank which values creativity and excellence.