Data Scientist (Small Business Product) – Senior Associate

JPMorganChase; Chicago (IL); On-site; USD 114,000 - 165,000; Full time

Job summary

JPMorganChase in Chicago is seeking a Data Scientist to join the Small Business Data Product Analytics team. You will apply data science and AI to build digital-led products, deepen relationships with small business clients, and partner across product, design, risk, and customer teams to deliver measurable outcomes.

You will develop analytics foundations, support experimentation, and translate complex insights into practical recommendations for senior stakeholders while staying current with AI

Qualifications

• Masters or PhD in a related field, or Bachelors with 3- 5 years' 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 modern analytical tools and programming languages, including 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 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, including communicating complex concepts to audiences at varying levels 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.

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 key performance indicator (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

Python

SQL

AI fluency

Data visualization

Cross-functional collaboration

Experiment design

Narrative storytelling

Education

Masters or PhD in a related field

Bachelor's with 3-5 years analytics experience

Tools

Tableau

Sigma

Adobe Analytics

Job description

Locations

• 450 W 33rd St, New York, NY, 10001, US
• 8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
• 1111 Polaris Pkwy, Columbus, OH, 43240, US
• 575 Washington Blvd, Jersey City, NJ, 07310, US

Job Schedule

Full time

Base Pay/Salary

• New York,NY $123,500.00-$170,000.00
• Jersey City,NJ $123,500.00-$170,000.00
• Chicago,IL $114,000.00-$165,000.00

Job Description

Are you passionate about applying data science and AI to build new products and shape client experiences at scale? If you enjoy solving complex business problems analytically, using AI in your day-to-day workflow, and influencing strategy for a growing line of business, then this opportunity is for you.

As a Data Scientist, in the Small Business Data Product Analytics team, you have the opportunity to help build a best-in-class, integrated, digital-led products within a leading financial services firm, focused on deepening relationships with more than 8 million small business clients.

You will partner cross-functionally to establish product analytics foundations, develop scalable lead- and trigger-driven capabilities, and support testing and experimentation to improve measurable outcomes. You will incorporate AI-native thinking, including the practical application of AI in everyday analysis, decision support, and innovation, as well as the curiosity to identify, prototype, and scale new agentic use cases that improve product and client outcomes.

You are an avid learner with a growth mindset, eager to apply data science and AI to help launch and evolve one of the most significant growth opportunities in Business Banking.

Job 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 key performance indicator (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.

Required Qualifications, Capabilities, and Skills

• Masters or PhD in a related field, or Bachelors with 3- 5 years' experience in a related discipline. 3-5 years of related 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 modern analytical tools and programming languages, including 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 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, including communicating complex concepts to audiences at varying levels 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.

Preferred Qualifications, Capabilities, and Skills

• 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.