AI-Driven Product Data Scientist for Small Business

JP Morgan Chase; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JP Morgan Chase is seeking a Data Scientist to help build AI-powered, data-driven products for Small Business clients at scale in the United States. You will partner across product, design, risk, and customer teams to implement analytics foundations and scalable lead/trigger capabilities.

Responsibilities include applying advanced statistics and AI methods to improve product performance, client engagement, and growth, as well as delivering insights to senior stakeholders and operationalizing

Qualifications

• Masters or PhD in a related field, or Bachelors with 3-5 years' analytics experience.
• Strong proficiency in statistical analysis, text mining, hypothesis testing, predictive modeling, and experimental design for product and customer use cases.
• Experience in data querying, transformation, and analysis using Python and SQL.
• Demonstrated AI fluency with practical use of AI tools in day-to-day analysis.
• Experience leveraging data visualization tools such as Tableau, Sigma, Adobe Analytics.
• Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong data storytelling capabilities for audiences across business and technical functions.
• Demonstrated ability to work in cross-functional environments and deliver high-quality outputs.
• Commitment to iterative development and measurable outcomes in AI-enabled solutions.
• Curiosity to stay current on AI advances in a regulated environment.

Responsibilities

• Collaborate with product, design, strategy, risk, controls, and customer teams to support analytics for Small Business product initiatives.
• Apply statistical methods and AI-assisted approaches to product performance, client engagement, and growth outcomes.
• Support end-to-end analytics delivery from problem framing to delivery of insights to senior stakeholders.
• Develop analytics approaches for lead and trigger capabilities to improve demand generation and client traffic.
• Establish day-one measurements including tracking, data quality, and KPI frameworks across financial, operational, and product dimensions.
• Operationalize experimentation frameworks to evaluate product and journey improvements and inform prioritization.
• Analyze client experience and journey outcomes, including AI-enabled discovery and servicing pathways.
• Identify high-value AI and agentic use cases to improve productivity and decision quality.

Skills

Statistical analysis

Text mining

Hypothesis testing

Predictive modeling

Experimental design

Python

SQL

Data visualization

Tableau

Sigma

Adobe Analytics

Data storytelling

Cross-functional collaboration

AI fluency

Decision support

Education

Master's or PhD in related field

Bachelor's degree with 3-5 years analytics experience

Tools

Python

SQL

Tableau

Sigma

Adobe Analytics

Job description

JP Morgan Chase is seeking a Data Scientist to help build AI-powered, data-driven products for Small Business clients at scale in the United States. You will partner across product, design, risk, and customer teams to implement analytics foundations and scalable lead/trigger capabilities.

Responsibilities include applying advanced statistics and AI methods to improve product performance, client engagement, and growth, as well as delivering insights to senior stakeholders and operationalizing