Data Science

As a Data Scientist At Reliance Retail, You Will Work On High\-impact, Applied Data Science Problems Across Online And Offline Commerce Across a Broad And Evolving Set Of Problem Spaces. These Are Organized Into The Following Thematic Clusters (you May Specialize In One Or Rotate Across Multiple) * Customer, Growth \& Commerce Intelligence * Search, ranking, recommendations, and personalization * Customer profiling, segmentation, LTV, churn, and loyalty * Acquisition, engagement, retention, and lifecycle optimization * Marketing effectiveness, attribution, uplift, and experimentation * Monetization, Pricing \& Promotions * Dynamic pricing and markdown optimization * Promotion effectiveness and offer personalization * Ads relevance, bidding intelligence, and measurement * Margin optimization and revenue intelligence * Supply Chain, Planning \& Availability * Demand planning and forecasting at scale * Inventory, replenishment, and allocation optimization * Network planning, S\&OP, and fulfillment intelligence * Availability, selection depth, and service\-level optimization * Store, Operations \& Physical Retail Intelligence * Store efficiency, labor optimization, and compliance * Planogram intelligence and assortment effectiveness * Computer vision, video, and sensor\-based intelligence * Shrinkage, fraud, and loss prevention * Platform, Automation \& Next\-Gen AI * Intelligent decision engines embedded into workflows * Agentic systems for automated planning, execution, and monitoring * Causal, simulation, and digital twinbased modeling * Reusable ML platforms, feature stores, and inference systems