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

- Energetic 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 twinbased modeling
- Reusable ML platforms, feature stores, and inference systems

📌 Data Science (Navi Mumbai)
🏢 Reliance Retail
📍 Navi Mumbai