VP, Senior Data Scientist - Marketing Intelligence

VP, Senior Data Scientist – Marketing IntelligenceThe VP, Senior Data Scientist – Marketing Intelligence serves as a strategic partner to Enterprise Marketing Strategy and business leaders, leveraging advanced analytics, machine learning, experimentation, and AI-assisted tools to drive customer growth and business performance. This role develops predictive and prescriptive models, translates complex business challenges into analytical solutions, and delivers actionable insights that improve acquisition, engagement, retention, cross-sell, and marketing ROI. Success requires strong modeling expertise, business acumen, critical thinking, and the ability to communicate complex findings to both technical and executive audiences.Responsibilities:Partner with Marketing and business leaders to identify opportunities for predictive analytics, customer intelligence, and experimentationDesign, develop, and validate predictive and prescriptive models including propensity, lead scoring, churn, customer lifetime value, segmentation, recommendation, and next-best-action modelsTranslate business questions into analytical frameworks, hypotheses, success metrics, and actionable recommendationsUtilize Databricks and approved AI-assisted tools to accelerate data science workflows while maintaining strong analytical oversight and model governanceDesign and evaluate A/B tests, test/control methodologies, uplift models, and causal measurement frameworksAnalyze customer behavior and marketing performance to identify growth opportunities and improve targeting, conversion, retention, and ROIPartner with Marketing Analytics, Data Engineering, Enterprise Data, and AI/ML Engineering teams to build scalable datasets, features, and production-ready analytical solutionsCommunicate insights, recommendations, risks, and financial impact to business stakeholders and executive leadershipEstablish best practices for modeling, validation, experimentation, and AI-assisted analyticsEnsure compliance with privacy, governance, fairness, explainability, and responsible AI standardsQualifications:Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field; Master's degree or PhD preferred5+ years of experience in data science, machine learning, predictive analytics, advanced analytics, or a related fieldDemonstrated success delivering predictive or analytical solutions that drive measurable business outcomesDeep expertise in statistical modeling, machine learning, predictive analytics, experimentation, causal inference, uplift modeling, and model evaluationExperience developing customer-focused models, including propensity, lead scoring, segmentation, churn, customer lifetime value, personalization, recommendation, and next-best-action modelsProficiency in Python and SQL, with the ability to review, validate, troubleshoot, and enhance AI-generated analytical solutionsExperience with large customer, transactional, behavioral, CRM, digital, marketing, or third-party datasetsExperience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar modern data platforms preferredFamiliarity with AI-assisted analytics and development tools, including Databricks Genie Code, Claude Code, Cursor, or comparable technologiesStrong understanding of model governance, reproducibility, testing, monitoring, documentation, and responsible AI practicesExperience applying analytics to customer acquisition, marketing, customer intelligence, sales, growth, retention, or related business functionsFinancial services, fintech, lending, insurance, or other regulated-industry experience preferredStrong business acumen with the ability to connect analytical results to customer, operational, and financial outcomesExcellent communication, presentation, and stakeholder management skills, with experience translating complex analytics into actionable business recommendationsExperience presenting analytical insights and business impact to senior leadership and executive audiencesDemonstrated ability to operate effectively in fast-paced, ambiguous environments with strong analytical judgment, intellectual curiosity, and ownership