Head of Predictions & Optimization
Core
Lead the data science function to build pricing, promotion, and optimization models for Revenue Growth Management (RGM) in the CPG industry.
Role type
Head of Data Science / Predictions & Optimization
Builds
Production ML models and optimization systems for pricing, trade promotion, and revenue management
Domain
CPG (Consumer Packaged Goods), Retail, Revenue Growth Management
Deliverable
production ML models
Required skills
statistical modeling, machine learning for pricing/demand/forecasting, optimization/decision-support modeling, Python, SQL, causal inference, uplift modeling, team leadership
Preferred skills
RGM/trade promotion/pricing experience, syndicated/retailer data experience, end-to-end model deployment, operations research/MIP, startup team-building
Technologies
Python, SQL, MIP, solvers
Responsibilities
Lead pricing and trade optimization for RGM including price elasticity and promo lift; Build specific promotion recommendations; Turn predictions into prescriptions under real constraints; Measure campaign effectiveness using post-event analysis and causal inference; Partner with AI/ML engineers to take models to production; Build and mentor the data science team
Seniority
Senior, hands-on IC with leadership responsibilities