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.