Data Scientist, Advanced Analytics & Commercial Effectiveness
Tasks
- Apply causal inference methods
- Build next best action engines
- Build survival models
- Create customer and patient segmentation
- Create documentation and training
- Create time series forecasts
- Design and run experiments
- Develop patient identification models
- Develop predictive models
- Ensure HIPAA compliant data operations
- Implement model guardrails and interpretability
- Implement validation and hallucination detection
- Model adherence and retention
- Monitor competitive switching signals
- Optimize marketing mix models
- Translate insights into business recommendations
- Use AI agents for analytics development
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AFT Models | ANOVA | ARIMA | B testing | Bayesian Inference | Bayesian MMM | Bias detection | CI/CD | Causal Inference | Class imbalance | Class imbalance handling | Clustering | Cortex AI | Cox Proportional Hazards | Difference-in-differences | Drift monitoring | Embeddings | Entity recognition | Exponential Smoothing | Fairness audits | Git | Hypothesis Testing | Instrumental Variables | Jupyter | LIME | Lifelines | LightGBM | Linear Regression | Logistic Regression | MLflow | Mixed-effects | Mixed-effects models | Model Explainability | Model calibration | NLP | Named Entity Recognition | Next Best Action | Power analysis | Propensity Score Matching | Propensity score | Prophet | PySpark | PyTorch | Pymc | Python | Random Forest | Regression Analysis | Regression Discontinuity Design | Regression discontinuity | Regularized regression | SHAP | SQL | SciPy | Scikit-learn | Score Matching | Snowflake | Snowpark Python | Spark | StatsModels | Support Vector Machine | Survival analysis | Synthetic control | Text Classification | Topic Modeling | Veeva CRM | XGBoost
Education
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