Senior Applied Data Scientist
Mumbai, Maharashtra, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Communicate findings to non-technical stakeholders
- Deploy production machine learning models
- Design data pipelines and feature stores
- Design scalable analytical frameworks
- Implement MLOps practices for model deployment
- Lead end-to-end machine learning development
- Monitor model performance in production
- Perform exploratory data analysis and feature engineering
- Provide mentorship and code reviews
- Validate impact with A B testing and causal inference
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Azure ML | B testing | CI/CD | Causal Inference | Data Pipelines | Data Visualization | Databricks | Deep learning | Docker | Feature Engineering | Feature Stores | Git | Google Vertex | Google Vertex AI | Kubernetes | LightGBM | MLOps | Machine Learning | Model Monitoring | NumPy | Optimization | Pandas | PyTorch | Python | Reinforcement Learning | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Vertex AI | XGBoost
Education
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