Pricing & Promotions Specialist

About the job

We're seeking a Pricing & Promotions Specialist with deep retail expertise and advanced optimization capabilities to drive revenue growth through AI-powered pricing strategies. You'll leverage Reinforcement Learning and optimization techniques to design, implement, and manage dynamic pricing and promotional frameworks for leading retail clients. Key Responsibilities • Design and deploy Multi-Agent Reinforcement Learning (MARL) systems for pricing optimization across product categories, competitive dynamics, and demand scenarios. • Develop promotional strategies using optimization algorithms to maximize revenue, margin, and market share while maintaining price elasticity. • Analyze retail pricing data, consumer behavior patterns, and competitive intelligence to identify optimization opportunities. • Build simulation environments for testing pricing scenarios before production deployment. • Collaborate with data science teams to integrate RL models into pricing decision workflows. • Create dashboards and reports demonstrating pricing strategy impact on KPIs. • Work directly with retail merchandising and revenue teams to align AI-driven recommendations with business objectives. Required Qualifications • 3-5 years of experience in pricing/promotions roles within retail store-based companies (grocery, consumer goods, or fashion retail preferred). • Strong foundation in Reinforcement Learning, particularly Multi-Agent RL, Q-Learning, or Policy Gradient methods. • Proven experience with optimization techniques (linear programming, constrained optimization, dynamic programming). • Hands-on expertise in Python with libraries like Ray RLlib, Stable Baselines3, or similar RL frameworks. • Deep understanding of retail pricing mechanics, promotional calendars, and markdown strategies. • Experience with price elasticity modeling and demand forecasting. Preferred Qualifications • Master's degree in Operations Research, Computer Science, Economics, or related quantitative field. • Experience deploying RL models in production retail environments. • Knowledge of A/B testing methodologies for pricing experiments. • Familiarity with retail POS systems and pricing management platforms.

Requirements

• Pricing Optimization
• Reinforcement Learning
• Python
• Retail
• Optimization Techniques

Qualifications

• Master's degree in Operations Research
• Computer Science
• Economics

Preferred Technologies

• Pricing Optimization
• Reinforcement Learning
• Python
• Retail
• Optimization Techniques

About the company

eizen.ai is building next-generation AI systems inspired by cognitive science and advanced reasoning models. We are looking for strong engineers who can build scalable Computer Vision & Video Analytics solutions.