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Senior Statistical Modeler — Pricing & Promotion Optimization
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About the Role
No. of positions: 1 Remote/India, EST overlap 4 hours Immediate- 1 week availability
What You'll Do
- 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.
You're a Good Fit If You
- Required skills: Artificial Intelligence, Data Science
- 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.
Role Highlights
Pay & Payout
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
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