Data Scientist Senior Associate

Data Scientist Sr. AssociateAs a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will develop and execute analytical plans to understand drivers of deposit portfolio growth, from account opening to attrition. Your insights will be crucial in guiding strategic decisions and investments, impacting the broader organization.Job responsibilitiesLead analytics strategy and execution for Consumer Bank new account performance reportingInterpret results and present findings to stakeholders and senior management, including the CMO.Conduct unstructured, ad hoc analyses of customer behavior and engagementExecute A/B and incrementality test readouts, including interpretation and recommendationsTranslate results into clear narratives and present insights to stakeholders and senior managementContribute to innovation initiatives that advance analytics methods and scalabilityMaintain a rigorous controls environment to ensure accurate, timely, and reproducible resultsRequired qualifications, capabilities and skillsBachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)3+ years of experience applying statistical methods to real-world business problems3+ years of experience using SQL and at least one of the following: SAS, Python, or RDemonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code developmentExperience using data visualization techniques for analysis and stakeholder-ready storytellingHands-on experience with A/B and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendationsExperience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groupsPreferred qualifications, capabilities and skillsMaster's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)Intellectual curiosity and motivation to build deep subject matter expertise in a focus areaStrategic thinking with an ability to stay anchored to measurable business goalsStrong organization skills with the ability to prioritize multiple workstreams effectivelyStrong relationship-building skills and comfort partnering with key stakeholdersTableau preferred.