Senior Optimization Scientist / Operations Research Scientist

Responsibilities:

• Work with business, Operations Research, and IT teams to understand requirements and translate business rules into mathematical optimization models.
• Develop, maintain, and improve Mixed Integer Programming (MIP) models for task assignment and workforce planning.
• Build and integrate optimization models using FICO Xpress, Gurobi, or CPLEX.
• Tune solver performance and improve model runtime, solution quality, and scalability.
• Analyze solver logs, model inputs/outputs, and data to identify performance, data-quality, and feasibility issues.
• Troubleshoot modeling issues such as conflicting constraints, incorrect defaults, and infeasible solutions.
• Validate and benchmark optimization results against business requirements and manual processes.
• Develop and maintain Python/Streamlit dashboards to visualize optimization results.
• Write clean, tested, and maintainable production-quality code.
• Work closely with Java engineers to integrate and productionize optimization models.
• Use AI coding tools such as GitHub Copilot or Claude to improve development speed while maintaining code quality.
• Communicate model results and trade-offs effectively with both technical and business teams.

Requirements:

• 5+ years of experience in Operations Research, Mathematical Optimization, Data Science, or a related quantitative field.
• Strong hands-on experience with MIP / mathematical optimization.
• Experience developing and deploying optimization models into production.
• Strong knowledge of linear programming, integer programming, constraints, and objective functions.
• Experience with FICO Xpress, Gurobi, or CPLEX. FICO Xpress is highly preferred.
• Experience with Java and/or Python for optimization model development.
• Experience with solver tuning, model performance optimization, and troubleshooting infeasible models.
• Strong data analysis and problem-solving skills.
• Experience working with large datasets; Azure ADLS experience is preferred.
• Experience with Python/Streamlit or similar data visualization tools.
• Strong communication and teamwork skills.

Education:

• Bachelor's degree or PhD in Operations Research, IndustrialEngineering, Applied Mathematics, Optimization, Computer Science, Engineering, Statistics, Data Science, or a related field.