Data Scientist – Dynamic Pricing & Offer Optimization

Key Responsibilities

• Build and deploy models for Price Elasticity / Conversion Prediction, Churn Propensity / Retention Uplift, Segment Discovery & Similarity (Clustering, KNN), Offer Recommendation / Ranking (Scoring Models)
• Design A/B testing and uplift modeling to evaluate campaign performance
• Develop simulation engines for pricing what-if analysis and scenario testing
• Create automated pipelines for model training, scoring, and retraining
• Work closely with Data Engineers to ensure feature store alignment
• Collaborate with the Business Decisioning team to translate insights into rules and thresholds
• Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models