Data Scientist in Supply Chain

Job Summary

As a full-time Data Scientist in Supply Chain, the successful candidate will apply advanced analytics to optimize global supply chain challenges, focusing on cost, service performance, and sustainability outcomes in a remote environment.

Key responsibilities

• Design and implement optimization models for network design, inventory positioning, demand forecasting, and transportation efficiency
• Analyze and transform large datasets to generate actionable insights that improve supply chain performance and cost efficiency
• Develop algorithms using machine learning and statistical modeling techniques to address complex supply chain problems

Required qualifications

• Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of experience in data science, analytics, or optimization roles, particularly within supply chain contexts
• Proficiency in programming languages such as Python or R for analytical and modeling solutions
• Experience with machine learning and statistical modeling techniques relevant to supply chain
• Familiarity with optimization libraries like OR Tools, Pyomo, or Gurobi