Role Overview : Lead Data Scientist

Experience : 7 - 10 Years

Domain : CPG / Retail Revenue Growth Management (RGM)

Looking for an experienced Lead Data Scientist with strong expertise in Machine Learning, Statistical Modeling, Forecasting, and Optimization, along with hands-on experience in CPG / Retail Revenue Growth Management (RGM).

The ideal candidate should have worked extensively on demand forecasting, price/promotion elasticity, forecast-driver attribution, time-series anomaly detection, and constrained optimization/simulation.

Key Responsibilities :

- Design and develop advanced ML and statistical models for CPG/Retail RGM use cases.

- Build scalable demand forecasting models across products, channels, customers, and geographies.

- Develop price and promotion elasticity models to measure pricing and promotional impact.

- Perform forecast-driver attribution to identify key factors influencing demand and sales.

- Build time-series anomaly detection solutions for demand, sales, pricing, and promotional patterns.

- Develop constrained optimization and simulation models for pricing, promotions, revenue, volume, and margin decisions.

- Perform large-scale data analysis using Python and SQL.

- Translate complex analytical findings into actionable business recommendations.

- Collaborate with Product, Engineering, Analytics, and business stakeholders.

- Provide technical leadership and mentor Data Scientists.

Must-Have Skills :

- 7 - 10 years of relevant Data Science / Machine Learning experience.

- Strong hands-on expertise in Python and SQL.

- Strong knowledge of Machine Learning, Statistical Modeling, Data Analysis, and Time-Series Modeling.

- Proven hands-on experience in :

1. Demand Forecasting

2. Price & Promotion Elasticity

3. Forecast-Driver Attribution

4. Time-Series Anomaly Detection

5. Constrained Optimization / Simulation

- Strong understanding of pricing, promotions, demand drivers, revenue, volume, and margin optimization.

- Strong analytical and stakeholder communication skills.

Mandatory Domain Requirement :

- Strong hands-on experience in CPG / Retail Revenue Growth Management (RGM) is mandatory.

- Candidates should have relevant experience in areas such as Pricing Analytics, Promotion Optimization, Trade Promotion Analytics, Revenue Management, Demand Forecasting, Price/Promo Elasticity, Scenario Simulation, or Revenue/Margin Optimization.