Data Scientist

• Model and measure price elasticity of demand across products, categories, and customer segments
• Develop and test AI/ML models incorporating elasticity coefficients into demand forecasting and pricing scenarios
• Analyze structured and unstructured retail data to uncover trends and quantify customer sensitivity to price changes
• Apply statistical, econometric, and causal inference techniques to simulate what-if pricing and promotion strategies
• Build and iterate on prototypes and POCs integrating elasticity insights into real-world retail/CPG contexts
• Present findings through clear storytelling and data visualization to influence technical and business stakeholders
• Collaborate with engineering and product teams to bring data-driven solutions into production

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