Job Title

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): 1. 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 2. Monetization, Pricing & Promotions Dynamic pricing and markdown optimization Promotion effectiveness and offer personalization Ads relevance, bidding intelligence, and measurement Margin optimization and revenue intelligence 3. 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 4. 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 5. Platform, Automation & Next-Gen AI Intelligent decision engines embedded into workflows Agentic systems for automated planning, execution, and monitoring Causal, simulation, and digital twin–based modeling Reusable ML platforms, feature stores, and inference systems