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1 week ago
**Role**: Data Scientist - Price Optimization/Inventory Optimization
**Experience**: 3-6 years
**Location**: Bangalore (Work from Office)
**Key Responsibilities**:
- Develop and implement price elasticity and price optimization models to maximize revenue and profitability.
- Design and optimize inventory forecasting models to improve demand planning and reduce stock-outs/overstocks.
- Work on end-to-end model lifecycle: data preparation, feature engineering, model development, validation, deployment, and monitoring.
- Collaborate with cross-functional teams (business, product, engineering) to translate requirements into scalable data science solutions.
- Leverage Azure Databricks, ADF, and Azure ML for building, training, and deploying ML models.
- Handle large-scale datasets using Python (Pandas, NumPy, PySpark) and distributed computing frameworks.
- Continuously enhance models through retraining, automation, and performance optimization.
**Required Skills & Experience**:
- 3-6 years of hands-on experience in Data Science & Machine Learning.
- Proven expertise in Price Optimization/Price Elasticity/Inventory Optimization.
- Strong knowledge of Forecasting techniques (Time-Series, Regression, ML-based forecasting).
- Mandatory experience in end-to-end model development and deployment.
- Proficiency in Python (Pandas, NumPy, PySpark) and SQL.
- Hands-on experience with Azure Cloud ecosystem (Databricks, ADF, Azure ML).
- Strong understanding of statistical concepts, ML algorithms, and optimization methods.
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