No. of positions: 1.

Immediate- 1 week availability.

Engagement type: Contract.

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.

• 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.

• 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.
• Hands-on experience with substitution, cannibalization, and affinity/market-basket techniques.
• 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.

Work arrangement: Fully remote

Eligible countries: India