Senior Data Scientist — AI-Driven Product Analytics

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 join the Small Business Data Product Analytics team in the United States. The role centers on building AI-enabled analytics to inform product decisions and enhance client experiences at scale.

You will partner with product, design, strategy, risk, controls, and customer teams to establish analytics foundations, develop lead- and trigger-driven capabilities, and support experimentation to improve measurable outcomes.

Qualifications

• 3–5 years of analytics experience in a related discipline.
• 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 and ability to apply AI tools in day-to-day analytics.
• Experience with data visualization tools such as Tableau, Sigma, Adobe Analytics.
• Ability to translate ambiguous questions into structured analytical approaches and recommendations.

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 to insight communication to senior stakeholders.
• Develop analytics approaches for lead and trigger capabilities to improve demand generation and client traffic.
• Establish day-one measurements and KPI frameworks across financial, operational, controls, audit, and product dimensions.
• Operationalize experimentation frameworks to evaluate product and journey changes and inform prioritization.
• Analyze client experience and journey outcomes, including AI-enabled pathways, to identify improvements and measurable value.
• Identify and develop high-value AI and agentic use cases to improve analytical productivity and decision quality.

Skills

Statistical analysis

Text mining

Predictive modeling

Experimental design

Python

SQL

Data visualization

Data storytelling

Cross-functional collaboration

AI fluency

Education

Master's degree or PhD in related field

Tools

Tableau

Sigma

Adobe Analytics

Job description

JP Morgan Chase is seeking a Data Scientist to join the Small Business Data Product Analytics team in the United States. The role centers on building AI-enabled analytics to inform product decisions and enhance client experiences at scale.

You will partner with product, design, strategy, risk, controls, and customer teams to establish analytics foundations, develop lead- and trigger-driven capabilities, and support experimentation to improve measurable outcomes.