Data Scientist_ML (India)
Tasks
- Analyze structured and unstructured retail datasets to uncover trends and customer behavior patterns
- Apply advanced statistical techniques and machine learning algorithms to solve retail business problems
- Collaborate with product engineering data engineering and business teams to translate requirements into scalable solutions
- Communicate analytical findings and business recommendations to technical and non technical stakeholders
- Design and evaluate transformer based time series forecasting models
- Design build and deploy robust machine learning pipelines in Databricks
- Develop data driven strategies to maximize revenue profitability and pricing efficiency
- Drive experimentation model evaluation and continuous improvement of forecasting and pricing models
- Implement model monitoring systems and production ready APIs
- Lead design development and deployment of scalable machine learning solutions for pricing optimization demand forecasting and promotion planning
- Mentor junior data scientists and provide technical guidance
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Amazon SageMaker | Azure Machine Learning | CI/CD | Databricks | Demand forecasting | Flask | Google Vertex | Google Vertex AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | NumPy | Pandas | Price elasticity | Promotion optimization | PySpark | Python | Regression Analysis | SQL | Scikit-learn | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting | Transformer Models | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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