Join the Payments Data & Analytics Customer Insights team where we leverage data science, research, and business acumen to promote client-focused innovation and apply your technical expertise to lead analytics and GenAI/agentic AI initiatives that generate actionable merchant and consumer insights, inform product strategy, and deliver measurable impact for Chase Merchant Services clients.
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will be responsible for leading and executing big data analytics projects in response to product innovation for Merchant Services and deliver insights that optimize merchant location strategy and targeted marketing for small business merchants, as well as generate deep consumer and business insights.
Job Responsibilities:
- Build customer insights workstreams: frame business problems, define hypotheses, identify success metrics, design analyses, and deliver recommendations with clear commercial impact.
- Develop scalable datasets and pipelines using tools such as Snowflake, SQL, and Python, enabling repeatable reporting, experimentation, and advanced analytics.
- Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs and iterate data model designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Drive GenAI solution development: partner with SMEs and product partners to prototype and iterate on LLM-powered assistants and workflow automations; translate business needs into effective prompts, retrieval strategies, and agent workflows.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Partner with data owners, product managers, data engineers, and other stakeholders to aid in the development of data models, algorithms and ensure solutions are scalable.
- Communicate results, insights, and recommendations clearly to business stakeholders and senior leadership and support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s or Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field; Minimum of 3 years relevant work experience.
- Strong programming skills in in Python and SQL for data processing and analysis.
- Expertise in quantitative research techniques and analytics using Python and SQL.
- 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.
- Familiarity with AWS, Snowflake for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
- Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
About Us
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's or Master's degree in STEM or a related field
- At least 3 years of relevant work experience
- Strong programming skills in Python and SQL for data processing and analysis
- Expertise in quantitative research techniques and analytics using Python and SQL
- Critical thinking and creative problem-solving skills, with the ability to translate strategy into deliverables
- Knowledge of machine learning and data science theory, techniques, and tools
- Experience leveraging Large Language Models and agent AI techniques
- Ability to collaborate effectively and cultivate strong partnerships
- Experience in data analysis, data science, or a related field
- Familiarity with AWS and Snowflake for data management and analysis
- Understanding of quality assurance practices and data integrity
- Familiarity with GenAI evaluation and monitoring concepts, including test cases, human-in-the-loop feedback, and quality metrics
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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