Senior Data Scientist
Tasks
- Apply model explainability and diagnostics
- Build recommendation and optimization solutions
- Deploy models and analytical applications
- Design GenAI workflows
- Develop predictive models
- Frame business problems
- Monitor model performance and data drift
- Partner with stakeholders to drive adoption
- Run A B testing and causal analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | API | Azure AI | Azure AI Foundry | Azure ML | B testing | Bootstrap | CI/CD | CatBoost | Causal Inference | Containerization | Data Quality | Databricks | Databricks feature workflows | Dynamic Programming | Embeddings | Feature Engineering | GPT | Git | Heuristics | LightGBM | MILP | MLflow | Prompt engineering | PyTorch | Python | RAG | SHAP | SQL | Scenario Modeling | Scikit-learn | Sensitivity Analysis | Spark | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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