Qualifications

• 6+ years of experience as a Data Scientist with a focus on supply chain optimization.
• Advanced degree (MS or PhD) in relevant fields like Computer Science or Operations Research.
• Familiarity with mathematical programming solvers (Gurobi, CPLEX, etc.).
• Experience with MLflow and model lifecycle management.
• Proven ability to build end-to-end machine learning pipelines in production.
• Strong programming skills in Python, PySpark, and SQL.
• Expertise in statistical methods and predictive modeling techniques.

Responsibilities

• Refactor optimization algorithms in Python using object-oriented programming principles.
• Apply data science techniques to tackle business challenges in supply chain and optimization.
• Analyze large datasets using advanced statistical methods for pricing optimization.
• Develop models to improve inventory management and optimize allocative resources.
• Collaborate with cross-functional teams to define and deliver data-driven solutions.
• Execute experiments to assess replenishment strategies and allocation policies.
• Monitor KPIs related to supply chain and make recommendations for improvements.
• Stay updated on industry trends to foster innovation within the organization.

Benefits

• Significant career development opportunities in a fast-growing environment.
• High degree of individual responsibility in the role.