Build and deploy advanced retail-focused ML solutions across recommendations, customer lifecycle analytics, pricing, supply chain forecasting, and store operations. Develop personalization, dynamic pricing, demand forecasting, CV-based store intelligence, and reusable ML platform components (feature stores, inference systems, causal models) to optimize acquisition, retention, margins, inventory, and fulfillment.
This role is for one of the Weekday's clients
Min Experience: 1+ years
Location: Bengaluru, Mumbai
JobType: full-time
Requirements
1. Customer, Growth & Commerce Intelligence
- Search, ranking, recommendations, and personalization
- Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs
- Optimization of acquisition, engagement, retention, and customer lifecycle
- Evaluation of marketing effectiveness, attribution, uplift, and experimentation
2. Monetization, Pricing & Promotions
- Dynamic pricing strategies and markdown optimization
- Assessment of promotion effectiveness and personalization of offers
- Ad relevance, bidding intelligence, and performance measurement
- Optimization of margins and revenue intelligence
3. Supply Chain, Planning & Availability
- Large-scale demand planning and forecasting
- Inventory management, replenishment, and allocation optimization
- Network planning, sales & operations planning (S&OP), and fulfillment intelligence
- Optimization of product availability, selection depth, and service levels
4. Store, Operations & Physical Retail Intelligence
- Enhancing store efficiency, labor optimization, and compliance monitoring
- Planogram analytics and assortment effectiveness
- Intelligence derived from computer vision, video, and sensor data
- Prevention of shrinkage, fraud, and loss
5. Platform, Automation & Next-Generation AI
- Embedding intelligent decision engines into workflows
- Agentic systems for automated planning, execution, and monitoring
- Modeling based on causal inference, simulations, and digital twins
- Reusable machine learning platforms, feature stores, and inference systems
Retail recommendations
Good-to-have skillsPyTorch, TensorFlow, XGBoost
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