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Responsibilities: Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis. Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting,
Role: IA & DS Tech LeadRequirements:7+ years of applied data science experience in enterprise environments.Strong statistical and modeling background.Expertise in Python and ML libraries.Experience applying LLMs, embeddings, and prompt engineering techniques.Ability to translate business needs into analytical
