Data Scientist_ML (India)
Tasks
- Analyze retail structured and unstructured datasets
- Build promotion optimization models
- Collaborate with cross-functional teams
- Communicate analytics and business recommendations
- Create inventory and revenue forecasting models
- Deploy production ready APIs
- Design ML pipelines in Databricks
- Design transformer based time series forecasting models
- Develop demand forecasting models
- Develop revenue and pricing optimization strategies
- Implement model monitoring
- Improve forecasting and pricing models
- Lead pricing optimization machine learning solutions
- Mentor junior data scientists
- Run experimentation and model evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | CI/CD | Databricks | Demand forecasting | Flask | Google Vertex | Google Vertex AI | Inventory forecasting | MLOps | Machine Learning | NumPy | Pandas | Price elasticity | Promotion optimization | PySpark | Python | SQL | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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