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