Senior Data Scientist
Tasks
- Design develop validate machine learning models
- Develop statistical forecasting classification anomaly detection optimization causal inference models
- Ensure data privacy security compliance and regulatory standards
- Ensure responsible AI practices explainability bias checks traceability validation
- Ensure scalability and reusability aligned with enterprise standards
- Establish experimentation and A B testing frameworks
- Evaluate model performance
- Foster culture of experimentation rigor and collaboration
- Integrate models into enterprise data and AI platforms
- Mentor team members and promote best practices
- Own data science initiatives end to end
- Partner with business leaders to identify and prioritize use cases
- Perform exploratory data analysis and feature engineering
- Perform model monitoring and drift detection
- Present insights to technical and non-technical stakeholders
- Productionize models and analytical pipelines
- Share knowledge across teams
- Support development and deployment of AI solutions
- Support model governance and lifecycle management
- Translate business problems into measurable analytical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Causal Inference | Data Analysis | Data Privacy | Drift Detection | Experimentation | Exploratory Data Analysis | Feature Engineering | Forecasting | LightGBM | Machine Learning | Model Monitoring | NumPy | Optimization | Pandas | PyTorch | Python | SQL | Scikit-learn | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
Roles
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