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Develop marketing mix models, Bayesian statistical models, causal inference frameworks, attribution solutions, and experimentation methods to measure marketing effectiveness. Analyze large-scale marketing data, build Python analytics pipelines, create dashboards, and communicate insights for budget allocation and marketing optimization. Collaborate with data science, engineering, media strategy, and business teams while presenting findings, assumptions, uncertainty, and recommendations to stakeholders.