Data Scientist Associate Senior - Data Analytics Report Team
JPMorganChase
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Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You’ll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes.
As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals
Job Responsibilities
- Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms.
- Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives.
- Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery.
- Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices.
- Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features.
- Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders.
- Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree with 3+ years’ experience or Master’s degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering).
- Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
- Strong Python programming skills, with a focus on modular, scalable, and maintainable code.
- Experience with AWS cloud platform.
- Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
- Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
- Excellent problem-solving, communication, and documentation skills.
- Exposure to agentic system design patterns, orchestration, and workflow automation.
Preferred Qualifications, Capabilities, and Skills
- Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG).
- Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools.
- Financial services industry experience.
- Ability to design and evaluate autonomous system features aligned with business goals.
- Experience with additional cloud services (EKS, S3, RDS, CloudFormation).
- Experience with containerization (Docker), and infrastructure as code (Terraform).
This role is 5 days a week in office full time. This role is not hybrid nor remote.
This role is not eligible for any visa sponsorship or transfer support at this time.
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.
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.
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.
Equal Opportunity Employer/Disability/Veterans
Drive agentic AI innovation with AWS, Python, and LLMs to build secure, scalable automation that powers business outcomes.