{"id":2138081,"url":"https://alion.io/job/ups-senior-or-analyst-2","title":"Senior OR Analyst","company":{"id":37664,"name":"UPS","domain":"ups.com","url":"https://alion.io/company/ups","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":87,"open_postings":851,"ghost_share":0.16,"stale_share":0.014,"repost_share":0.533,"time_to_fill_p50_days":9,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Alpharetta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":142000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1721},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-22T09:46:14Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Before you apply to a job, select your language preference from the options available at the top right of this page.\nExplore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.\nJob Description:\nSenior Operations Research Analyst\nUPS\nJob Description\nThe 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.\nThe 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.\nThe 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.\nResponsibilities\nLead the design, development, implementation, and deployment of advanced optimization, and decision support systems that address complex business and operational challenges.\nTranslate business requirements into quantitative modeling frameworks, including the definition of objectives, constraints, assumptions, performance measures, and solution methodologies.\nDesign and architect scalable optimization solutions that operate within enterprise production environments.\nDevelop mathematical models using operations research techniques, including linear programming, mixed-integer programming, network optimization, stochastic optimization, and related methodologies.\nEvaluate and apply advanced solution approaches, decomposition techniques, heuristics, and algorithmic strategies to improve computational performance and solution quality.\nLead model validation, calibration, sensitivity analysis, scenario analysis, and stress testing efforts to ensure solution robustness and business alignment.\nCollaborate with software engineering and data engineering teams to integrate optimization models into enterprise applications, cloud platforms, APIs, and automated decision-making workflows.\nMonitor production performance and proactively identify opportunities for model enhancement, refactoring, automation, and operational improvements.\nEstablish and maintain comprehensive technical documentation, including model specifications, solution methodologies, assumptions, system architecture, and deployment procedures.\nCommunicate complex analytical concepts and results to technical and non-technical audiences, providing actionable insights and business recommendations.\nProvide technical leadership and mentorship to Operations Research Analysts and other team members, supporting knowledge sharing and professional development.\nStay current with advances in operations research and related analytical disciplines, and drive their adoption where appropriate.\nLead or support multiple analytical initiatives simultaneously while ensuring alignment with business priorities and strategic objectives.\nRequired Qualifications\nPh.D. REQUIRED in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Analytics, Data Science, or a closely related quantitative field.\nExperience designing, developing, and implementing moderately to highly complex mathematical optimization models and analytical solutions.\nStrong knowledge of operations research methodologies, including linear programming, mixed-integer programming, network optimization, and related techniques.\nExperience with commercial optimization solvers such as Gurobi, CPLEX, Xpress, or equivalent technologies.\nStrong programming skills and experience developing production-quality analytical software using languages such as Java, Python, C++, or similar.\nExperience designing scalable, maintainable, and well-documented analytical solutions deployed in production environments.\nAbility to independently solve complex technical problems and lead analytical initiatives from concept through deployment.\nStrong written and verbal communication skills with the ability to engage both technical and business stakeholders.\nPreferred Qualifications\nExperience with advanced decomposition and solution methodologies, including:Column Generation\nBenders Decomposition\nLagrangian Relaxation\nDynamic Programming\nBranch-and-Price\nMetaheuristics and Hybrid Optimization Approaches\n\nExperience developing optimization solutions deployed at enterprise scale.\nExperience integrating optimization models with enterprise systems, APIs, databases, and data pipelines.\nExperience supporting transportation, logistics, network design, supply chain optimization, or large-scale operational planning applications.\nExperience applying AI and machine learning techniques alongside optimization and simulation methodologies.\nGrade: 30F\nLast day for internals to apply is: 10/5/26\nEmployee Type:\nPermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.\nOther Criteria:\nUPS is an equal opportunity employer. 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