About this role
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)