Data Scientist
Core
Develop statistical, Bayesian, causal, and machine learning models to enhance forecasting capabilities and quantify uncertainty for business decision-making.
Role type
Data Scientist (Forecasting)
Builds
Forecasting solutions supporting critical business processes and planning horizons
Domain
Life Sciences / Healthcare
Deliverable
production ML models
Required skills
Time-series forecasting, Predictive modeling, Python, SQL, Statistical modeling, Bayesian modeling, Causal inference, Machine learning, Feature engineering, Scenario analysis
Preferred skills
Retail forecasting, Supply chain modeling, Causal inference, Probabilistic modeling
Technologies
scikit-learn, PyMC, PyTorch, TensorFlow
Responsibilities
Develop and refine statistical and ML models for demand forecasting; Analyze large complex datasets to generate insights; Support simulation and scenario-analysis capabilities; Contribute across the modeling lifecycle from framing to deployment; Collaborate on new forecasting tools and methodologies; Communicate analytical findings to stakeholders.
