Applied Scientist - Supply Chain
Tasks
- Apply decomposition methods for large scale optimization
- Build probabilistic demand and supply forecasting models
- Collaborate with engineers and product managers to deploy prototypes to production
- Develop optimization and machine learning models for supply chain
- Formulate and solve mixed integer stochastic optimization problems
- Present and communicate AI value to executives
- Quantify forecast uncertainty with prediction intervals
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Bayesian Inference | Benders Decomposition | Column generation | Cutting Plane Methods | Decomposition methods | Integer Programming | Lagrangian Relaxation | Machine Learning | Mixed Integer | Mixed-Integer Programming | Optimization | Prediction Intervals | Probabilistic Modeling | Series forecasting | Stochastic Programming | Time Series | Time Series Forecasting | Uncertainty Quantification
Education
Roles
Regions
Countries
States
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