Senior Data Scientist
Core
Develop advanced statistical, Bayesian, causal, and machine learning models to forecast demand and quantify uncertainty for strategic decision-making across the company.
Role type
Senior IC data scientist (forecasting)
Builds
Decision-support solutions for multi-horizon planning and business decision-making
Domain
Biotechnology / Healthcare commercial forecasting
Deliverable
production ML models
Required skills
time-series forecasting, probabilistic programming, Bayesian modeling, causal inference, Python, SQL, scikit-learn, PyMC, PyTorch, TensorFlow, latent variable modeling, high-dimensional clustering, quasi-experimental methods
Preferred skills
biotech/pharma forecasting experience, healthcare commercial concepts (payer/provider dynamics, formulary access), machine learning in retail/supply chain/manufacturing
Technologies
PyMC, PyTorch, TensorFlow, scikit-learn
Responsibilities
Develop simulation and scenario-analysis capabilities to understand dynamics among patients, payers, providers, and market conditions; Execute end-to-end modeling lifecycle including scoping, prototyping, data analysis, feature engineering, model development, deployment, monitoring, and explainability; Research and evaluate emerging tools and methodologies in forecasting, data science, and AI for business problems
Seniority
Senior, hands-on IC