Jobs
Join the JPM Payments Data & Analytics' Merchant Services Cost Insights team at JPMorgan Chase, 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 applications, creating impactful solutions for Chase Merchant Services clients.
As a Data Scientist Vice President in our Merchant Services Cost Insights team, you will be delivering excellence at the intersection of data science, research, and business domain expertise. You will have the opportunity to work on projects that focus on cost-based analytics, business intelligence, data engineering, and visualization. By combining your technical skills and understanding of the business context, you will collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers.
Our team supports multiple products, including Payment Insights, Digital Merchant Insights and Customer Insights, as well as custom, ad hoc client analytics . We also act as subject matter experts on Merchant Services processing data to create a data environment that supports diverse analytic objectives. Utilizing Snowflake, Python, and Tableau, we develop data pipelines and dashboards, prototype new GenAI capabilities and features using an emerging technical stack for delivery.
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Job Responsibilities
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Create innovative solutions that make a difference for our customers, clients, and employees.
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Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
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Work on agile teams to support data-driven decision-making and manage stakeholders.
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Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
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Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
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Design and refine prompts and interaction patterns to improve AI assistant performance; work with subject matter experts to align AI behavior with business goals and user needs.
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Drive iterative development: testing, reliability evaluation, monitoring, and continuous improvement of GenAI/agentic solutions in production.
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Required Qualifications, Capabilities, and Skills
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Bachelor's or Master's degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field
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Minimum 6 years relevant work experience.
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Experience in data analysis, data science, or a related field.
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Familiarity with Snowflake for data management and analysis.
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Proficiency in Python and SQL for data processing and analysis.
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Strong problem-solving and critical thinking skills.
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Preferred Qualifications, Capabilities, and Skills
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Understanding of quality assurance practices and the importance of data integrity.
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Knowledge of machine learning/data science theory, techniques, and tools.
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Awareness of big data technologies (e.g., Hive, Hadoop, Spark) and distributed computing concepts like Map Reduce.
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Familiarity with data visualization tools, such as Tableau.
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Knowledge of the Software and Product Development Life Cycle .
ABOUT US
JPMorgan Chase, 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 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
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total per year
Base
$145,000
Stock
-
Bonus
-
$182,000
$195,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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