Data Scientist in Supply Chain

To solve complex supply chain challenges, the full-time remote Data Scientist in Supply Chain Optimization will apply advanced analytics and data science techniques across procurement, planning, engineering, operations, and logistics functions, developing models to optimize performance and enhance sustainability. Key responsibilities: Develop and implement optimization models for network design, inventory management, demand forecasting, and transportation optimization Clean, transform, and analyze large datasets to uncover actionable insights and prepare data for analysis Create dashboards and visualizations using BI tools to effectively communicate insights to non-technical stakeholders Required qualifications: Degree in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, Computer Science, or Engineering 5+ years of hands-on experience in data science, analytics, or optimization roles, preferably related to supply chain Proficiency in programming languages such as Python or R, and experience with optimization libraries (e.g., OR-Tools, Pyomo, Gurobi) Strong data manipulation skills using SQL or similar tools, with experience working with large datasets Practical experience in areas such as network optimization, inventory management, demand forecasting, or transportation optimization