Principal Data Scientist

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Descrizione

The Opportunity As a Principal Data Scientist - Causal AI & Experimentation (within our Data Science and Machine Learning team), you will serve as a technical leader and key domain authority for advanced experimentation, measurement, and optimization solutions across the CMG organization. In this high-impact, individual-contributor role, you will bridge the gap between cutting-edge causal methodology and high-stakes business strategy. You will drive the design, development, and industrialization of enterprise-grade causal AI and statistical models that measure business impact, optimize resource allocation, and guide data-driven decision-making. Working alongside other data scientists and engineers, you will help shape the technical strategy for measurement and experimentation initiatives. You will serve as a mentor to senior and junior data scientists, establish best-in-class modeling standards, and partner closely with cross-functional teams to deliver scalable AI solutions. Key Responsibilities Drive the technical design and methodology for key Causal AI, measurement, and experimentation projects, translating complex business objectives into robust mathematical and algorithmic frameworks. Design, build, and deploy production-grade statistical, econometric, machine learning, and causal inference models (e.g., A/B & quasi-experimentation, Media/Marketing Mix Modeling, synthetic controls, uplift modeling, and non-parametric measurement). Develop scalable algorithms to quantify

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