Data Scientist – Supply Chain Optimization

Job Title: Supply Chain Optimization Specialist

Experience:

Department:

Position Overview:

Supply Chain Optimization Specialist

Key Responsibilities:

Mathematical Modeling & Optimization

• Develop, refine, and validate mathematical models for inventory management, production planning, transportation logistics, and distribution networks.
• Apply advanced optimization techniques including linear programming, integer programming, network flows, simulation, and heuristics to solve complex supply chain challenges.
• Perform sensitivity analysis, scenario modeling, and risk assessment to evaluate system performance under various conditions.
• Translate business objectives, constraints, and requirements into mathematical frameworks and optimization problems.

Data Analysis & Insights

• Analyze large-scale supply chain data to extract actionable insights and identify performance trends.
• Partner with data scientists and analysts to gather, clean, and preprocess data from multiple sources ensuring accuracy and completeness.
• Provide recommendations to optimize cost, improve efficiency, and enhance customer satisfaction through data-driven decisions.

Solution Development & Deployment

• Present analytical findings, models, and recommendations to stakeholders in a clear, structured format.
• Provide input on trade-offs between analytical rigor and speed-to-market solutions.
• Collaborate with internal teams including Data Engineers, Data Scientists, Business Analysts, and Project Managers to test and deploy solutions effectively.

Research & Innovation

• Stay abreast of emerging trends in supply chain management, operations research, and optimization methodologies.
• Research and propose innovative approaches to address new and evolving supply chain challenges.

Qualifications:

• Master’s degree in

  Industrial Engineering, Operations Research, Management Science

  , or a related field.

• 3+ years of professional experience

  in supply chain modeling and optimization.
• Strong command of optimization techniques such as

  linear/integer programming, network flow modeling, simulation, and heuristic algorithms

  .
• Programming proficiency in

  Python, R

  , or

  MATLAB

  , with hands-on experience using optimization libraries like

  Gurobi, CPLEX, FICO

  .
• Expertise in data manipulation using

  pandas, NumPy

  , and similar tools.
• Solid understanding of SQL for data extraction; experience with visualization platforms like

  Tableau

  or

  Power BI

  .
• Strong knowledge of supply chain processes, including

  demand forecasting, inventory management, production planning, transportation logistics

  , and

  distribution networks

  .

Preferred Skills:

• Excellent problem-solving and critical thinking abilities.
• Strong communication skills to explain technical solutions to non-technical stakeholders.
• Experience working in cross-functional and collaborative environments.