Senior OR Analyst

UPS; Alpharetta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

UPS is seeking a Senior Operations Research Analyst to design, develop, and deploy advanced optimization and analytics-driven decision-support systems across the organization. You will collaborate with software, data, and business teams to translate complex challenges into scalable models and robust solutions.

The role requires a Ph.D. in OR or related field, experience with LP/MILP/network optimization, and proficiency in Java/Python/C++.

Qualifications

• Ph.D. in Operations Research or closely related 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, MILP, 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.

Responsibilities

• Lead design and deployment of advanced optimization and decision-support systems.
• Translate business requirements into quantitative modeling frameworks, including objectives, constraints, assumptions, performance measures, and solution methodologies.
• Architect scalable optimization solutions for enterprise production environments.
• Develop mathematical models using LP, MILP, network, and stochastic optimization.
• Evaluate decomposition techniques, heuristics, and algorithms to improve performance.
• Lead model validation, calibration, sensitivity analysis, and stress testing.
• Collaborate with software and data engineers to integrate models into enterprise systems.
• Monitor production performance and identify opportunities for improvement.
• Document modeling specifications and deployment procedures.
• Communicate analytical results to technical and non-technical audiences.
• Provide mentorship and stay current with OR advances.

Skills

Programming skills

Communication skills

Independent problem solving

Education

Ph.D. in Operations Research / related field

Tools

Gurobi

CPLEX

Xpress

Java

Python

C++

Job description

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Job Description

Senior Operations Research Analyst

UPS

The Senior Operations Research (OR) Analyst designs, develops, and leads the deployment of advanced optimization, mathematical programming, and analytics-driven decision support systems across the organization. This role is responsible for formulating, implementing, and scaling complex quantitative models and algorithms, including linear, integer, mixed-integer, and network optimization methods, to enable data-driven planning, resource optimization, operational efficiency, and strategic decision support.

The Senior OR Analyst owns the design, development, deployment, and continuous improvement of production-grade analytical solutions that drive cost optimization, network design, resource allocation, capacity planning, and operational performance across UPS. This position serves as a key technical leader responsible for solution architecture, model design, computational performance, and long-term sustainability of analytical products.

The role requires close collaboration with business stakeholders, software engineers, data scientists, and data engineering teams to translate complex operational challenges into robust, scalable analytical solutions. The Senior OR Analyst provides leadership throughout the full lifecycle of analytical products, including requirements gathering, mathematical formulation, model development, validation, deployment, monitoring, performance tuning, and continuous improvement. This position also drives the adoption of Operations Research methodologies, establishes modeling best practices, and contributes to the strategic direction of analytical capabilities within the organization.

Responsibilities

• Lead the design, development, implementation, and deployment of advanced optimization, and decision support systems that address complex business and operational challenges.
• Translate business requirements into quantitative modeling frameworks, including the definition of objectives, constraints, assumptions, performance measures, and solution methodologies.
• Design and architect scalable optimization solutions that operate within enterprise production environments.
• Develop mathematical models using operations research techniques, including linear programming, mixed-integer programming, network optimization, stochastic optimization, and related methodologies.
• Evaluate and apply 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 efforts to ensure solution robustness and business alignment.
• 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 proactively identify opportunities for model enhancement, refactoring, automation, and operational improvements.
• Establish and maintain comprehensive technical documentation, including model specifications, solution methodologies, assumptions, system architecture, and deployment procedures.
• Communicate complex analytical concepts and results to technical and non-technical audiences, providing actionable insights and business recommendations.
• Provide technical leadership and mentorship to Operations Research Analysts and other team members, supporting knowledge sharing and professional development.
• Stay current with advances in operations research and related analytical disciplines, and drive their adoption where appropriate.
• Lead or support multiple analytical initiatives simultaneously while ensuring alignment with business priorities and strategic objectives.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with advanced decomposition and solution methodologies, including:
• Column Generation
• Benders Decomposition
• Lagrangian Relaxation
• Dynamic Programming
• Branch-and-Price
• Metaheuristics and Hybrid Optimization Approaches
• Experience developing optimization solutions deployed at enterprise scale.
• Experience integrating optimization models with enterprise systems, APIs, databases, and data pipelines.
• Experience supporting transportation, logistics, network design, supply chain optimization, or large-scale operational planning applications.
• Experience applying AI and machine learning techniques alongside optimization and simulation methodologies.

Grade: 30F

Last day for internals to apply is: 10/5/26

Employee Type:

Permanent

Other Criteria:

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

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.