Senior Statistical Modeler - Pricing & Promotion Optimization

Senior Statistical Modeler - Pricing & Promotion Optimization Company: WillWare Technologies. Work Mode: Remote / Contract. Time Zone: 4 hours of EST overlap. Role summary: We are looking for a Senior Statistical Modeler to lead the analytical direction of our pricing and promotion work. This is a hands-on technical leadership role: you will set the modeling approach, mentor and direct a team of data scientists and analysts, and own the statistical rigor behind our pricing, promotion, and demand decisions. You will turn large, messy commercial datasets into defensible, business-ready insight and be able to explain the why behind every number to non-technical stakeholders. Key responsibilities: - Set the technical direction and standards for the team across predictive modeling, elasticity estimation, and price/promotion optimization. - Build and oversee price elasticity models and price optimization that translate directly into pricing recommendations and revenue/margin impact. - Lead promotion optimization - measuring promotional lift, efficiency, and ROI, and recommending optimal promo mechanics and depth. - Own substitution and cannibalization analysis to understand cross-product effects of pricing and assortment decisions. - Direct affinity / market-basket analysis to inform bundling, cross-sell, and promotion design. - Model trend and seasonality and build robust demand forecasts at the SKU and category level. - Apply rigorous statistical analysis and inference - hypothesis testing, confidence/uncertainty quantification, experimental and quasi-experimental design (A/B tests, causal inference) - and hold the team to that standard. - Drive data analysis and insight generation, turning model output into clear, actionable recommendations for commercial and executive stakeholders. - Mentor and review the work of junior modelers and analysts; establish reproducible, well-documented modeling practices. - Partner with pricing, category, finance, and product teams to embed models into decision-making. Required qualifications: - Advanced degree (Master's or PhD) in Statistics, Economics/Econometrics, Operations Research, Applied Mathematics, or a related quantitative field - or equivalent experience. - 8+ years building statistical and predictive models in a commercial setting, with a substantial track record specifically in pricing and/or promotion optimization. - Deep expertise in: regression and econometric modeling, price elasticity estimation, demand forecasting, time-series methods (trend/seasonality), causal inference, and experimental design. - Hands-on experience with substitution, cannibalization, and affinity/market-basket techniques. - Strong command of statistical inference and the ability to quantify and communicate model confidence and uncertainty. - Proficiency in Python and/or R and SQL; comfort working with large-scale, real-world transactional data. - Deep industry experience in a relevant domain (retail, CPG/consumer goods, e-commerce, or another pricing-intensive sector) - you understand the commercial realities behind the data. - Proven ability to lead and direct a team and to communicate complex statistical results to non-technical business leaders. Preferred: - Experience with commercial pricing/revenue-management platforms or having built such capability in-house. - Familiarity with optimization methods (constrained/mathematical optimization) applied to pricing and promo planning. - Experience operationalizing models into production decision systems and building model-monitoring/validation practices