Data Scientist, Advanced Analytics & Commercial Effectiveness
Tasks
- Apply causal inference methods
- Build next best action recommendation systems
- Build survival models
- Build switching surveillance models
- Create documentation and enablement materials
- Create ensemble forecasting frameworks
- Create patient and HCP segments
- Design and deploy predictive models
- Detect adherence and retention risk signals
- Develop statistical standards
- Implement hallucination detection guardrails
- Implement model interpretability and fairness audits
- Monitor model drift
- Operate HIPAA compliant de identified data
- Optimize marketing mix with Bayesian MMM
- Run A/B tests
- Train patient identification classifiers
- Translate analysis into commercial recommendations
- Tune and evaluate AI agents
- Use Snowflake Cortex AI for agent assisted development
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AFT Models | ANOVA | ARIMA | B testing | Bayesian Inference | Bayesian MMM | CI/CD | Calibration | Collaborative Filtering | Container Services | Contextual Bandits | Cortex AI | Cox Proportional Hazards | Cross-validation | Difference-in-differences | Ensembles | Exponential Smoothing | Git | Hypothesis Testing | Instrumental Variables | Jupyter | LightGBM | Lightweightmmm | Logistic Regression | MLflow | Machine Learning | Mixed-effects | Mixed-effects models | Model Registry | Multiple Comparison Corrections | Neural Networks | Precision-recall | Propensity Score Matching | Propensity score | Prophet | PySpark | PyTorch | Pymc | Python | ROC-AUC | Random Forest | Regression Analysis | Regression Discontinuity Design | Regression discontinuity | Regularized regression | Reinforcement Learning | Robyn | SQL | SciPy | Scikit-learn | Score Matching | Snowflake | Snowpark Container Services | Snowpark Python | Spark | StatsModels | Support Vector Machines | Survival analysis | Synthetic control | Vector machines | Veeva | Veeva CRM | XGBoost
Education
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