Data Scientist Expert (Mumbai)

This role is for one of the Weekday's clients Min Experience: 1+ years Location: Bengaluru, Mumbai JobType: full-time Requirements 1. Customer, Growth & Commerce Intelligence - Search, ranking, recommendations, and personalization - Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs - Optimization of acquisition, engagement, retention, and customer lifecycle - Evaluation of marketing effectiveness, attribution, uplift, and experimentation 2. Monetization, Pricing & Promotions - Dynamic pricing strategies and markdown optimization - Assessment of promotion effectiveness and personalization of offers - Ad relevance, bidding intelligence, and performance measurement - Optimization of margins and revenue intelligence 3. Supply Chain, Planning & Availability - Large-scale demand planning and forecasting - Inventory management, replenishment, and allocation optimization - Network planning, sales & operations planning (S&OP;), and fulfillment intelligence - Optimization of product availability, selection depth, and service levels 4. Store, Operations & Physical Retail Intelligence - Enhancing store efficiency, labor optimization, and compliance monitoring - Planogram analytics and assortment effectiveness - Intelligence derived from computer vision, video, and sensor data - Prevention of shrinkage, fraud, and loss 5. Platform, Automation & Next-Generation AI - Embedding intelligent decision engines into workflows - Agentic systems for automated planning, execution, and monitoring - Modeling based on causal inference, simulations, and digital twins - Reusable machine learning platforms, feature stores, and inference systems Must-have skills Retail recommendations Positive-to-have skills PyTorch, TensorFlow, XGBoost This role is for one of the Weekday's clients Min Experience: 1+ years Location: Bengaluru, Mumbai JobType: full-time Requirements 1. Customer, Growth & Commerce Intelligence - Search, ranking, recommendations, and personalization - Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs - Optimization of acquisition, engagement, retention, and customer lifecycle - Evaluation of marketing effectiveness, attribution, uplift, and experimentation 2. Monetization, Pricing & Promotions - Dynamic pricing strategies and markdown optimization - Assessment of promotion effectiveness and personalization of offers - Ad relevance, bidding intelligence, and performance measurement - Optimization of margins and revenue intelligence 3. Supply Chain, Planning & Availability - Large-scale demand planning and forecasting - Inventory management, replenishment, and allocation optimization - Network planning, sales & operations planning (S&OP;), and fulfillment intelligence - Optimization of product availability, selection depth, and service levels 4. Store, Operations & Physical Retail Intelligence - Enhancing store efficiency, labor optimization, and compliance monitoring - Planogram analytics and assortment effectiveness - Intelligence derived from computer vision, video, and sensor data - Prevention of shrinkage, fraud, and loss 5. Platform, Automation & Next-Generation AI - Embedding intelligent decision engines into workflows - Agentic systems for automated planning, execution, and monitoring - Modeling based on causal inference, simulations, and digital twins - Reusable machine learning platforms, feature stores, and inference systems Must-have skills Retail recommendations Positive-to-have skills PyTorch, TensorFlow, XGBoost