Responsibilities

• Lead development of high-impact predictive and prescriptive models across multiple domains (advanced segmentation, personalization, pricing, forecasting, advanced measurement)
• Design and oversee complex experiments, including A/B and multivariate and tests
• Drive uplift modeling and long-term value prediction to optimize targeting and offers
• Research/adapt methods for hard problems; lead PoCs; scale viable solutions
• Partner with business leaders to identify high-value opportunities for predictive model deployment
• Co-design MLOps (feature store, experimentation, monitoring) with DE/P&T; ensure interoperability & governance
• Apply causal inference techniques for marketing and product measurement.
• Publish technical best practices and reusable frameworks

Education

Bachelor’s or Master’s in a quantitative field (ex: mathematics, statistics, data science) or an...