Data Scientist

📋 Description

• Design and implement optimization models, including mixed-integer linear programming and constraint
• Develop machine learning models that forecast demand, supply risk, and part availability, and
• Translate ambiguous and competing program priorities into formal objective functions, constraints
• Validate model outputs against historical allocation decisions and stakeholder expectations
• Build and maintain data pipelines that keep optimization models current with live inventory
• Analyze complex datasets and identify patterns, risks, and opportunities that can improve resource

🎯 Requirements

• Master’s or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial
• 6+ years of experience developing optimization and/or machine learning models for resource
• Deep hands-on experience with optimization solvers such as Gurobi, CPLEX, or OR-Tools and with
• Strong Python programming skills, including experience with machine learning frameworks such as
• Experience working with messy, complex, real-world supply chain, inventory, or program data.
• Strong quantitative problem-solving skills and the ability to translate ambiguous business

🎁 Benefits

• Opportunity to work on advanced optimization, machine learning, and decision-support solutions
• Exposure to mixed-integer programming, constraint optimization, ML-driven forecasting, and
• Collaboration with program, supply-chain, software engineering, and business stakeholders.
• Opportunity to contribute to high-visibility initiatives where analytical recommendations directly
• Mentorship opportunities and the ability to contribute to the development of junior data science
• Continuous learning environment focused on emerging AI, machine learning, cloud, and technology