Data Scientist (Price Optimization/Inventory Optimization) | 3+ years | Onsite, Bangalore

Role:

Experience:

Location:

Key Responsibilities:

• Develop and implement price optimization models leveraging machine learning and econometric techniques.
• Analyze and model price elasticity of demand to recommend data-driven pricing strategies.
• Collaborate with business stakeholders to design inventory optimization frameworks that balance supply, demand, and profitability.
• Build and deploy end-to-end pipelines on Azure Cloud for data ingestion, transformation, and model deployment.
• Monitor, evaluate, and continuously improve pricing and inventory optimization models.
• Perform scenario-based simulations to measure the business impact of pricing and stocking decisions.
• Communicate findings and recommendations to business leaders in a clear, actionable manner.

Qualifications:

• Bachelor’s/Master’s in Computer Science, Data Science, Economics, or related field.
• 3+ years of experience in data science, optimization, or applied machine learning.
• Hands-on expertise in the Azure cloud ecosystem (Databricks, Azure ML, Synapse, Data Lake).
• Strong programming skills in Python, SQL (R is a plus).
• Experience in optimization algorithms, econometrics, and statistical modeling.
• Proven experience working on price elasticity, demand forecasting, or revenue management.
• Strong business acumen with the ability to translate data into strategic recommendations.

Preferred Skills:

• Experience with inventory management systems and supply chain analytics.
• Knowledge of A/B testing and experimentation frameworks.
• Familiarity with MLOps practices for production deployment of models.