Description

 Key Responsibilities

• Develop and implement statistical and machine learning models for demand forecasting and sales prediction.
• Build pricing optimization models to support pricing strategies and maximize revenue and profitability.
• Analyze price elasticity and promotional effectiveness to understand consumer behavior and sales performance.
• Evaluate the impact of promotions, discounts, and pricing changes on sales volume, revenue, and market share.
• Work with large-scale datasets using Python, PySpark, and distributed data processing frameworks.
• Perform exploratory data analysis, feature engineering, model validation, and performance monitoring.
• Collaborate with business stakeholders, marketing, sales, and revenue growth management (RGM) teams to translate business problems into analytical solutions.
• Build scalable data science workflows and contribute to deploying models into production environments.
• Leverage Databricks for data processing, model development, and machine learning workflows, where applicable.

Required Skills & Qualifications

• Strong experience as a Data Scientist, preferably within the CPG/FMCG industry.
• Hands-on experience in demand forecasting, pricing analytics, promotional effectiveness, and price elasticity modeling.
• Strong programming skills in Python and PySpark.
• Solid understanding of statistical modeling, machine learning algorithms, and predictive analytics.
• Experience working with large datasets and performing data manipulation, feature engineering, and model development.
• Strong analytical and problem-solving skills with the ability to translate business requirements into actionable insights.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with Databricks, Apache Spark, and cloud-based data platforms.
• Knowledge of revenue growth management (RGM), trade promotion optimization, and price optimization.
• Experience with time-series forecasting techniques and advanced statistical methods.
• Familiarity with MLflow, model deployment, and production-grade machine learning pipelines

Key Skills

Education

Any Gradute