Data Scientist Analyst

JPMorgan Chase & Co.
Plano, TX, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Information Engineering Data Integrity Python (Programming Language) Machine Learning Rapid Prototyping Process SQL Databases Tableau (Software) Data Processing Large Language Models
+6 more
Snowflake Data Analytics Data Management Streamlit Framework Data Pipelines Automation Anywhere

Job description

Join the JPM Payments Data & Analytics’ Merchant Services Cost Insights team at JPMorganChase, where we leverage data science, research, and business acumen to promote client-focused innovation. Apply your technical skills to projects involving cost-based analytics and cutting-edge GenAI and agentic AI applications, creating impactful solutions for Chase Merchant Services clients.

As a Data Science Associate in our Merchant Services Cost Insights team, you will play a pivotal role in developing AI-driven models and GenAI/agentic AI solutions that automate repeatable tasks, creating efficiencies in business processes to drive value and growth. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on cost-based analytics, business intelligence, data engineering, and visualization., * Creation of chat assistants using multi-agent AI workflows.

  • Conceptualize solutions that automate and optimize business processes.
  • Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
  • Provide merchants with actionable recommendations to enhance their cost strategies.
  • Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
  • Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
  • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
  • Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms, including requirements and success metrics for GenAI/agentic workflows.
  • Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.

Requirements

  • Bachelor’s or Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
  • Proficiency in Python and SQL for data processing and analysis.
  • Minimum 1 year relevant work experience.
  • Expertise in quantitative research techniques and analytics using Python.
  • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
  • Knowledge of machine learning/data science theory, techniques, and tools.
  • Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
  • Ability to collaborate effectively and cultivate strong partnerships.

Preferred Qualifications, Capabilities, and Skills :

  • Experience in data analysis, data science, or a related field.
  • Ability to perform rapid prototyping in Tableau and streamlit.
  • Familiarity with AWS, Snowflake for data management and analysis.
  • Attention to detail with a proven ability to learn new concepts and skills quickly.
  • Understanding of quality assurance practices and the importance of data integrity.
  • Ability to clearly develop and document analytic requirements with stakeholders.
  • Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.

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

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmorganchase.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all