Data Scientist - Sr. Associate

JPMorganChase; Columbus (OH); On-site; USD 95,000 - 120,000; Full time

Job summary

JP Morgan Chase seeks a Data Scientist for the Business Banking Deposit & Cash Management Product Analytics team to deliver data-driven insights that influence product strategy and customer outcomes. You will partner with product managers to translate questions into analyses and present findings to business stakeholders.

You will build end-to-end analyses, ensure data quality, and communicate results clearly to non-technical partners, supporting product decisions and operational efficiency

Qualifications

• Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics
• Three years of experience in data science or quant analytics
• Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation
• Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake)
• Clear communication and presentation skills, with the ability to articulate complex issues concisely
• Strong organizational skills, attention to detail, and a structured approach to writing code and documentation
• Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency

Responsibilities

• Build strong relationships with product managers and functional partners
• Own the development and execution of analyses and reports end to end
• Summarize data results in a non-technical manner for business partners
• Translate business questions into data-driven approaches
• Deliver diagnostic deep dives, forecasting, and performance reporting that leaders can act on
• Maintain a strong focus on sound controls and data quality

Skills

Advanced SQL

Data transformation

Data discovery

Data validation

Data deduplication

Data aggregation

Edge-case identification

Data structure transformation

Communication skills

Presentation skills

Code documentation

Education

Bachelor's degree in a quantitative discipline

Tools

Teradata

Oracle

AWS

Snowflake

Job description

Use your Data Science skills to shape sales strategy and deliver measurable outcomes through data-driven insights. You'll partner closely with business stakeholders to design, execute, and track strategic initiatives—turning complex analysis into clear decisions. If you enjoy working collaboratively, communicating clearly, and solving ambiguous problems with rigor, this role offers meaningful impact and growth.

Job summary

As a Data Scientist within the Business Banking Deposit & Cash Management Product Analytics team, you provide data-driven insights to product managers that ultimately impact millions of small business customers. You act as a consultant to understand business problems, build the framework for the best data-driven solution, run the analysis, and review results with partners. Your work helps us better understand customer behaviors, identify opportunities, and improve customer engagement and operational efficiency job-template-shortened-12-05-24-pdf.pdf.

This team directly supports Deposit products (Checking, Savings, CDs) and Cash Management products (such as ACH, Remote Check Deposit, and Positive Pay). You will directly contribute to developing new banking products, modifying existing ones, establishing proper controls, and running benchmarking with third-party companies.

Job responsibilities

• Build strong relationships with product managers and functional partners
• Own the development and execution of analyses and reports end to end
• Summarize data results in a non-technical manner for business partners
• Translate business questions into data-driven approaches
• Deliver diagnostic deep dives, forecasting, and performance reporting that leaders can act on
• Maintain a strong focus on sound controls and data quality

Required qualifications, capabilities, and skills

• Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics
• Three years of experience in data science or quant analytics
• Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation
• Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake)
• Clear communication and presentation skills, with the ability to articulate complex issues concisely
• Strong organizational skills, attention to detail, and a structured approach to writing code and documentation
• Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency

Preferred qualifications, capabilities, and skills

• Familiarity with banking products, including Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay)