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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing advanced optimization models and decision support systems, utilizing operations research methodologies and programming skills to deliver scalable solutions. Capable of leading analytical initiatives and effectively communicating complex concepts to diverse stakeholders.
Highest-signal resume keywords
Ph.D. In Operations ResearchMathematical Optimization ModelsLinear ProgrammingCommercial Optimization SolversProgramming Skills In Java, Python, C++
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Mathematical ModelingMixed-Integer ProgrammingNetwork OptimizationStochastic OptimizationDecomposition TechniquesHeuristicsAlgorithmic StrategiesModel ValidationSensitivity AnalysisStress Testing
Soft Skills
Technical LeadershipMentorshipCommunication Skills
Tools & Technologies
GurobiCPLEXXpressAPIsCloud Platforms
Industry Keywords
Operations ResearchSupply Chain OptimizationLogisticsTransportationLarge-Scale Operational Planning
Tech Stack
Tools & technologiesCloudJavaPythonC++
About the role
Key responsibilities & impact- Lead the design, development, implementation, and deployment of advanced optimization and decision support systems
- Translate business requirements into quantitative modeling frameworks, defining objectives, constraints, assumptions, performance measures, and solution methodologies
- Design and architect scalable optimization solutions for enterprise production environments
- Develop mathematical models using linear programming, mixed-integer programming, network optimization, stochastic optimization, and related methodologies
- Evaluate advanced solution approaches, decomposition techniques, heuristics, and algorithmic strategies to improve computational performance and solution quality
- Lead model validation, calibration, sensitivity analysis, scenario analysis, and stress testing
- Collaborate with software engineering and data engineering teams to integrate optimization models into enterprise applications, cloud platforms, APIs, and automated decision-making workflows
- Monitor production performance and identify opportunities for model enhancement, refactoring, automation, and operational improvements
- Maintain technical documentation covering model specifications, methodologies, assumptions, architecture, and deployment procedures
- Communicate complex analytical concepts and results to technical and non-technical audiences
- Provide technical leadership and mentorship to Operations Research Analysts and other team members
- Drive adoption of advances in operations research and lead or support multiple analytical initiatives aligned with business priorities
Requirements
What you’ll need- Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Analytics, Data Science, or a closely related quantitative field
- Experience designing, developing, and implementing moderately to highly complex mathematical optimization models and analytical solutions
- Strong knowledge of operations research methodologies, including linear programming, mixed-integer programming, network optimization, and related techniques
- Experience with commercial optimization solvers such as Gurobi, CPLEX, Xpress, or equivalent technologies
- Strong programming skills and experience developing production-quality analytical software using languages such as Java, Python, C++, or similar
- Experience designing scalable, maintainable, and well-documented analytical solutions deployed in production environments
- Ability to independently solve complex technical problems and lead analytical initiatives from concept through deployment
- Strong written and verbal communication skills with the ability to engage both technical and business stakeholders
- Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer
- Preferred: experience with Column Generation, Benders Decomposition, Lagrangian Relaxation, Dynamic Programming, Branch-and-Price, metaheuristics and hybrid optimization approaches
- Preferred: experience developing optimization solutions deployed at enterprise scale
- Preferred: experience integrating optimization models with enterprise systems, APIs, databases, and data pipelines
- Preferred: experience supporting transportation, logistics, network design, supply chain optimization, or large-scale operational planning applications
- Preferred: experience applying AI and machine learning techniques alongside optimization and simulation methodologies
Benefits
Comp & perks- Permanent employment
- Equal opportunity workplace free of discrimination, harassment, and retaliation