Senior Data Scientist: AI-Driven Product Analytics Lead

JP Morgan Chase; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

JP Morgan Chase in New York seeks a Data Scientist to advance data science and AI across Small Business data products, shaping client experiences at scale. You will partner with product, design, risk, and analytics teams to turn complex questions into measurable insights and drive growth.

The role emphasizes experimentation, KPI-driven decision making, and responsible AI usage in a regulated banking environment.

Qualifications

• Master's or PhD in a related field, or Bachelor 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, including the ability to use AI tools effectively in day-to-day analytical work to accelerate insight generation and improve solution quality.
• Experience with 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, including communicating complex concepts across business and technical functions.
• Demonstrated ability to work in cross-functional environments, align stakeholders, and deliver high-quality outputs in a dynamic product setting.
• Strong commitment to iterative development and measurable outcomes, with the ability to incorporate feedback and continuously improve analytical and AI-enabled solutions.
• Demonstrated learning agility and curiosity to stay current on AI advances and apply them responsibly in a regulated environment.

Responsibilities

• Collaborate with product, design, strategy, risk, controls, and customer teams to provide analytical support for Small Business product initiatives and decision-making.
• Apply statistical methods, data analysis, and AI-assisted approaches to solve business problems related to product performance, client engagement, and growth outcomes.
• Support end-to-end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholders.
• Develop and refine analytics approaches for lead and trigger capabilities that help improve demand generation and client traffic in a scalable, sustainable manner.
• Partner cross-functionally to establish day-one measurements, including tracking, data quality, and KPI frameworks across financial, operational, controls, audit, and product dimensions.
• Operationalize experimentation frameworks to evaluate product and journey enhancements, quantify impact, and inform prioritization.
• Analyze client experience and journey outcomes, including AI-enabled discovery and servicing pathways, to identify opportunities for improvement and measurable value creation.
• Identify and develop high-value AI and agentic use cases that can improve analytical productivity, decision quality, and client outcomes.

Skills

Statistical analysis

Text mining

Hypothesis testing

Predictive modeling

Experimental design

Python

SQL

Data storytelling

AI fluency

Cross-functional collaboration

Communication

Education

Master's degree

PhD

Bachelor's degree with 3-5 years analytics experience

Tools

Tableau

Sigma

Adobe Analytics

Job description

JP Morgan Chase in New York seeks a Data Scientist to advance data science and AI across Small Business data products, shaping client experiences at scale. You will partner with product, design, risk, and analytics teams to turn complex questions into measurable insights and drive growth.

The role emphasizes experimentation, KPI-driven decision making, and responsible AI usage in a regulated banking environment.