Overview
As an Operations Research Scientist, you will join a dynamic Supply Chain Data Science team focused on embedding optimization and analytics throughout a global supply chain. Collaborating with data scientists, planners, and engineers, you will develop large-scale optimization models and use your expertise in Python and SQL to enhance various supply chain functions. The role is designed for a data-driven individual ready to tackle complex supply chain challenges in a remote environment.
Responsibilities
- Develop and implement large-scale optimization models (MILP) for supply chain challenges.
- Use Python and SQL (BigQuery) to construct and scale data pipelines and models.
- Collaborate with Demand Planning, Supply Planning, and Logistics teams to translate business needs into optimization solutions.
- Optimize inventory allocation, shipment modes, and transfer orders to enhance efficiency and resilience.
Requirements
- 3+ years of experience in Operations Research or Data Science.
- Proficiency in Mixed Integer Linear Programming (MILP).
- Strong skills in Python and SQL, specifically with Pandas and Scikit-learn.
- Experience with BigQuery for data processing.
- Deep understanding of supply chain dynamics.