Senior OR Analyst

GSV UPS General Services; Maryland; On-site; USD 114,000 - 213,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) retirement plan

Paid holidays and personal time

Paid sick leave

Job summary

UPS is seeking a Senior Operations Research Analyst to design, develop, and deploy optimization solutions for final-mile routing and dispatch. You will own the full solution lifecycle from problem formulation to deployment and continuous improvement, collaborating with software and data teams to scale models across enterprise systems.

The role requires a Ph.D. in a quantitative field, expert knowledge of MILP, network optimization, and parallel computing, and strong programming skills in

Qualifications

• Ph.D. required in a quantitative field.
• Experience designing, developing, and deploying optimization models and algorithms.
• Strong knowledge of OR methods including MILP, network optimization, heuristics, and routing.

Responsibilities

• Lead the design, development, and continuous improvement of final-mile routing and resource allocation solutions.
• Translate operational requirements into mathematical models using linear and mixed-integer programming.
• Engineer scalable solutions using parallel/distributed computing and performance profiling.
• Validate models through benchmarking, sensitivity analysis, and production performance tracking.
• Collaborate with software and data engineering teams to deploy solutions into enterprise systems.

Skills

OR methods

Programming: Python/Java/C++

Communication skills

Education

Ph.D. in Operations Research or related field

Tools

Gurobi

CPLEX

Xpress

OR-Tools

Job description

Job Description

Senior Operations Research (OR) Analyst leads the design, development, and deployment of optimization solutions for UPS's final-mile delivery operations. This role applies mathematical programming, heuristic and metaheuristic algorithms, machine learning, and high-performance computing to some of the largest and most complex routing and dispatching problems in the logistics industry and turns them into production systems that deliver measurable operational impact. Working closely with business stakeholders, software engineers, data scientists, and data engineers, you will own the full solution lifecycle: problem formulation, model and algorithm design, validation, deployment, performance tuning, and continuous improvement.

Responsibilities

• Lead the design, development, and continuous improvement of final-mile routing, dispatch, and resource allocation solutions, combining exact methods, heuristics, metaheuristics, and decomposition approaches to produce high-quality solutions within operational time limits.
• Translate operational requirements into mathematical models using linear and mixed-integer programming, network optimization, stochastic optimization, and related methods.
• Engineer solutions for scale, using parallel and distributed computing and performance profiling to improve runtime and solution quality for large, real-world problem instances.
• Validate and monitor models through benchmarking, sensitivity and scenario analysis, and production performance tracking to ensure robustness and business alignment.
• Partner with software and data engineering teams to deploy solutions into enterprise systems, applying machine learning and data science techniques where they strengthen optimization outcomes.

Required Qualifications

• Ph.D. required in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Civil Engineering, Data Science, or a closely related quantitative field.
• Experience designing, developing, and implementing moderately to highly complex optimization models and algorithms, including leading initiatives from problem definition through deployment.
• Strong knowledge of Operations Research methods, including linear and mixed-integer programming, network optimization, heuristic and metaheuristic techniques, and vehicle routing or related combinatorial optimization problems.
• Hands-on experience with optimization solvers such as Gurobi, CPLEX, Xpress, or OR-Tools.
• Strong programming skills in Python, Java, C++, or similar languages, and proficiency in SQL, with experience writing clean, maintainable code.
• Strong written and verbal communication skills, including the ability to explain complex technical concepts and recommendations to both technical and business audiences.

Preferred Qualifications

• Experience solving large-scale transportation and logistics problems such as vehicle routing with time windows (VRPTW), pickup-and-delivery, dynamic routing, territory optimization, and final-mile delivery.
• Experience with advanced optimization methods such as column generation, branch-and-price, Benders decomposition, Lagrangian relaxation, or dynamic programming.
• Experience with high-performance, parallel, distributed, cloud, or GPU computing, and with performance engineering for large-scale optimization systems.
• Experience integrating optimization models with applications, APIs, databases, and cloud platforms in enterprise decision-support systems.
• Experience applying machine learning, predictive analytics, simulation, or geospatial analytics alongside optimization.

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.

Employee Type

Permanent

Grade

303

Last day for internals to apply

10/14

Pay Range

The base pay for this position ranges from $114,024.00/year to $212,844.00/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

Benefits

• Medical/prescription drug coverage
• Dental coverage
• Vision coverage
• Flexible Spending Account
• Health Savings Account
• Dependent Care Flexible Spending Account
• Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
• Disability Income Protection Plan
• Employee Assistance Program
• 401(k) retirement program
• Vacation
• Paid Holidays and Personal time
• Paid Sick and Family and Medical Leave time as required by law
• Discounted Employee Stock Purchase Program

Company Culture

In 1907, two teenage entrepreneurs in a Seattle basement started with a $100 loan and created what would become the world’s largest package delivery service. Today, operating in more than 220 countries and territories, UPS is committed to moving our world forward by delivering what matters. UPS and its more than 500,000 UPSers around the globe are a transportation and logistics leader, offering innovative solutions to customers, big and small. UPS understands and appreciates its responsibility to help build safe, stronger and more resilient communities founded on justice and economic opportunity for all, supported by a healthy, sustainable global environment.

Equal Opportunity Employer

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.