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