(Summary generated by AI based on the full job description)
The project focuses on building predictive analytics and supporting marketing decision-making in the tobacco industry. The tech stack includes Python (pandas, numpy, scikit-learn, statsmodels) and SQL for handling large datasets and ETL. Core responsibilities include developing and optimizing churn, propensity, CLV, recommendation models, analyzing consumer data, modeling customer journeys with AI/ML, tracking model performance and translating analytical results into actionable business recommendations.

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