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

- Price & Promotion Elasticity
- Forecast-Driver Attribution
- Time-Series Anomaly Detection

5.

Constrained

Optimization / Simulation

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

📌 Lead Data Scientist - Revenue Growth Management Domain (India)
🏢 Watson Search Partners
📍 India