(Summary generated by AI based on the full job description)
Project focuses on consumer analytics within the tobacco industry and centers on building predictive models and optimizing marketing performance. Required tools are Python (pandas, numpy, scikit-learn, statsmodels), SQL and work with large datasets and ETL processes. Responsibilities include building and optimizing models (churn, propensity, CLV, recommendations), analyzing marketing data, modeling customer journeys, tracking model performance and translating results into business recommendations and visualizations for stakeholders.

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