Data Scientist – Price Optimization/Inventory Optimization

2 weeks ago

Bengaluru, Karnataka, India CrossAsyst Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role: Data Scientist – Price Optimization/Inventory Optimization

Experience: 3-6 years

Location: Bangalore (Work from Office)

About the Role: We are looking for a highly skilled Data Scientist with strong expertise in Price Optimization/Price Elasticity Modeling/Inventory Optimization. The ideal candidate will have hands-on experience in developing and deploying forecasting models across domains, leveraging advanced analytics and cloud-based platforms to drive business impact.

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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