Senior Statistical Modeler - Python/R/SQL
First seen by Alion on Oct 8, 2026.
Senior Statistical Modeler - Pricing & Promotion Optimization
Company : WillWare Technologies.
Work Mode : Remote / Contract.
Time Zone : 4 hours of EST overlap.
Role summary :
We're 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'll 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'll 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.
Skills
Python, R, SQL, Data Analytics, Predictive Modeling, Time Series Analysis, Statistical Modeling