Data Scientist
Tasks
- Apply LIME explainability
- Apply SHAP explainability
- Apply reinforcement learning
- Build batch serving pipelines
- Build feature stores
- Build machine learning APIs
- Build production machine learning solutions
- Build scalable analytical solutions
- Design data contracts
- Design data quality standards
- Develop machine learning models for demand forecasting
- Develop machine learning models for price elasticity estimation
- Develop machine learning models for pricing optimization
- Implement Mixed-Integer Programming optimization
- Implement linear programming optimization
- Maintain machine learning solutions
- Monitor machine learning models in cloud environments
- Monitor model drift
- Present insights to stakeholders
- Run A B testing experiments
- Run quasi experimental analysis
- Support CI CD MLOps processes
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Development | Azure DevOps | Azure Machine Learning | B testing | Batch serving | CI/CD | Causal Inference | Databricks | Delta Lake | Drift Detection | Experiment design | Experimental analysis | Feature Store | Hypothesis Testing | Integer Programming | LIME | Linear Programming | MLOps | MLflow | Machine Learning | Mixed Integer | Mixed-Integer Programming | Model Drift | Model Drift Detection | Model Monitoring | Prescriptive Analytics | Python | Quasi Experimental | Quasi Experimental Analysis | Reinforcement Learning | SHAP | SQL | Scikit-learn | Spark | Statistical Testing | XGBoost
Education
N/A
Roles
Regions
Countries
States
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