Data Scientist Lead - Marketing Predictive Analytics

Job description

OVERVIEW: Leads the development, deployment, and optimization of predictive models across all Retail, Business Banking and Wealth LOBs that drive customer growth and profitability. Owns end-to-end model lifecycle from data sourcing through validation and approval. Direct leadership of assigned data science team. POSITION RESPONSIBILITIES: - Develop and own predictive models, including propensity models, response models, customer value models, Marketing Mix Models (MMM) and segmentation models. - Select appropriate methodologies (logistic regression, GBM, random forest, etc.) based on business use case. - Communicate models with senior leaders and business partners in a clear and concise manner. - Manage ongoing model execution, validation, enhancement and governance of model suite. - Partner with Marketing Analytics and business partners to leverage models for targeting strategies to efficiently grow the business. - Define and curate model-ready feature sets from internal and 3rd party data sources. - Engineer model features that capture customer behavior, engagement, credit signals, channel interaction and channel activity. - Leverage tools such as Databricks for MLOps. - Ensure m...