Data Scientist (Small Business Product) - Senior Associate

JPMorganChase; New York (NY); On-site; USD 124,000 - 170,000; Full time

Benefits offered by this job

Health care

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase in New York, NY is seeking a Senior Associate Data Scientist to join the Small Business Data Product Analytics team. This onsite role will collaborate with product and cross-functional partners to build scalable analytics foundations, establish measurement capabilities, and design experimentation frameworks that drive growth for small business clients.

You will apply statistical methods, AI-enabled approaches, and data storytelling to deliver actionable insights to senior

Qualifications

• Master’s or PhD in a related field, or a Bachelor’s with 3–5 years of related experience.
• Strong command of statistical analysis, text mining, hypothesis testing, predictive modeling, and experimental design.
• Experience with Python and SQL for data querying, transformation, and analysis.
• AI fluency to accelerate insights and improve solutions.
• Experience with Tableau, Sigma, and Adobe Analytics for data visualization.

Responsibilities

• Partner with product and cross-functional teams to deliver analytical support for Small Business initiatives.
• Use statistical methods and AI-assisted approaches to address product performance and growth challenges.
• Own end-to-end analytics delivery from problem framing to insight communication to leadership.
• Develop analytics approaches for lead and trigger capabilities to improve demand and traffic.
• Establish day-one measurement including KPI frameworks and data quality.
• Operationalize experiments to evaluate enhancements and quantify impact.
• Analyze client journey outcomes to identify opportunities for value creation.
• Identify high-value AI and agentic use cases to improve productivity and decisions.

Skills

Analytics experience

AI fluency

Data storytelling

Cross-functional collaboration

Experimentation

Hypothesis testing

Statistical analysis

Education

Master's or PhD or Bachelor's with 3–5 years of related experience

Tools

Python

SQL

Tableau

Sigma

Adobe Analytics

Job description

JPMorganChase is hiring a Senior Associate Data Scientist to join the Small Business Data Product Analytics team in New York, NY. In this onsite role, you will work closely with product and cross-functional partners to build scalable product analytics foundations, lead and trigger measurement capabilities, and experimentation frameworks that help drive measurable growth for small business clients.

What you’ll do

• Partner with product, design, strategy, risk, controls, and customer teams to deliver analytical support for Small Business product initiatives and decision-making.
• Use statistical methods, data analysis, and AI-assisted approaches to address challenges across product performance, client engagement, and growth outcomes.
• Own 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 improve demand generation and client traffic in a scalable, sustainable way.
• Help establish day-one measurement, including tracking, data quality, and KPI frameworks spanning financial, operational, controls, audit, and product dimensions.
• Operationalize experimentation frameworks to evaluate product and journey enhancements, quantify impact, and support 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 build high-value AI and agentic use cases that improve analytical productivity, decision quality, and client outcomes.

What you bring

• 3-5 years of related analytics experience.
• Master’s or PhD in a related field, or a Bachelor’s with 3-5 years’ experience in a related discipline.
• Strong command of statistical analysis, text mining, hypothesis testing, predictive modeling, and experimental design for product and customer use cases.
• Experience using modern analytical tools and programming languages for data querying, transformation, and analysis, including Python and SQL.
• 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, and Adobe Analytics.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong data storytelling skills, including communicating complex concepts to audiences at different levels across business and technical teams.
• Proven ability to collaborate in cross-functional environments, align stakeholders, and deliver high-quality outputs in a dynamic product setting.
• Commitment to iterative development and measurable outcomes, including incorporating feedback and continuously improving analytical and AI-enabled solutions.
• Learning agility and curiosity to stay current on AI advances and apply them responsibly in a regulated environment.

Technologies

• Python
• SQL
• Tableau
• Sigma
• Adobe Analytics

Location and salary

• Location: New York, NY (onsite)
• Salary: USD 123,500 - 170,000 per year

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Preferred qualifications

• Master’s degree in a related field.
• Experience supporting product analytics, product launch measurement, and experimentation in client-facing businesses.
• Experience presenting analytical insights and recommendations to senior leaders and cross-functional decision-makers.
• Familiarity with analytics approaches for customer journey optimization, lead management, and performance measurement frameworks.
• Experience developing, testing, or scaling AI-enabled and agentic use cases in business workflows.
• Experience partnering with product and technology teams to translate AI opportunities into practical, measurable outcomes.