Data Scientist Senior Associate

As a Data Scientist Sr.

Associate within the Consumer Bank Marketing Analytics team, you will help manage and advance the data infrastructure that powers analytical work across CB Marketing.

The data products you support enable analysis behind marketing efforts that acquire millions of accounts each year, giving you the opportunity to make a meaningful impact at scale.

You will help maintain and evolve our primary marketing analytics data product, ensuring that trusted, useful, and well-documented data assets are available to analysts and decision-makers.

You will coordinate a roadmap to automate, enhance, and modernize this ecosystem; identify new upstream data sources; increase adoption of existing assets; uncover important gaps; and stay current on emerging AI capabilities that could improve data science and analytics workflows.

Job responsibilities


* Help manage the roadmap and ongoing development of the primary data product used by Consumer Bank Marketing Analytics


* Support the broader CB Marketing data infrastructure, balancing day-to-day reliability with longer-term automation, enhancement, and modernization priorities


* Build, maintain, document, and monitor reusable team data assets with strong controls for data quality, lineage, consistency, and reliability


* Identify and evaluate new upstream data sources, partner with source-system owners, and translate emerging marketing and analytical needs into scalable data solutions


* Develop new ways to deliver useful, accessible data to analysts and business partners, improving speed to insight and reducing duplicative work


* Maintain a clear inventory of available data assets, educate the team on their purpose and appropriate use, drive adoption, and identify gaps that limit analytical capabilities


* Apply knowledge of marketing attribution and the customer journey to ensure data assets support accurate measurement of channel, campaign, and initiative performance


* Create visualizations and narratives that explain the health, coverage, usage, and business value of the data ecosystem to technical and non-technical stakeholders


* Stay current on emerging AI capabilities that could affect data science and analytics, identify relevant use cases, and help incorporate practical opportunities into the team's innovation roadmap

Required qualifications, capabilities and skills


* Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)


* 3+ years of experience building, maintaining, or managing shared data assets, analytical data products, or data infrastructure used by multiple analysts or business teams


* 3+ years of experience using SQL and at least one of Python or R


* Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development


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