Data Scientist_ML
Tasks
- Analyze structured and unstructured data
- Build demand forecasting models
- Collaborate with product and engineering teams
- Conduct model evaluation and validation
- Create machine learning pipelines
- Deploy production machine learning models
- Design machine learning solutions for pricing optimization
- Develop production ready APIs
- Develop promotion planning models
- Evaluate forecasting techniques
- Mentor junior data scientists
- Monitor model performance
- Optimize machine learning workflows
Perks/Benefits
- Career growth opportunities
- Collaborative work culture
- Flexible work environment
- Mentoring opportunities
Skills/Tech-stack
API Development | Amazon SageMaker | Azure Machine Learning | CI/CD | Cloud Computing | Databricks | Flask | MLOps | Machine Learning | Model Monitoring | NumPy | Pandas | Probability | PySpark | Python | Regression Analysis | SQL | Scikit-learn | Series forecasting | Statistics | TensorFlow | Time Series | Time Series Forecasting | Transformer Models | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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