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preferred in Statistics, Mathematics, Operational Research, Economics, or related quantitative disciplines. \n7 to 11 years of experience in Data Science, with at least 70% relevant experience in analytics, statistical modeling, machine learning, or AI. \nStrong expertise in Time Series Forecasting, Regression, Classification, and Clustering techniques, with the ability to design, review, and recommend analytical solutions. \nSolid understanding of statistical concepts, data analysis, and data wrangling using SQL, databases, and Excel. \nHands-on experience in Machine Learning and Deep Learning model development and deployment. \nDeep proficiency in Python or R for advanced analytics and model development. \nDemonstrated expertise in at least 1-2 business analytics domains, such as: \nMarketing Mix Modeling (MMM)\nPricing & Promotion Optimization\nCustomer Value Management (CLV)\nNext Best Recommendation\nCustomer Segmentation\nSales Spend Optimization\nDemand Forecasting\nSupply Chain 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