What you’ll need to succeed as Lead Analyst, Operations Research Analytics at XPO
Minimum qualifications:
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Educational Background
PhD or MS in Operations Research, Industrial Engineering, Computer Science, Computer Engineering, or a related field. -
Relevant Experience
4+ years of hands-on experience working on large-scale optimization problems (mathematical programming, metaheuristics, etc.). -
Technical Proficiency
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Strong programming fundamentals in both object-oriented and functional languages.
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Solid understanding of algorithms and data structures.
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Analytical Expertise
Demonstrated ability to frame complex problems, select appropriate research/analytical methods, implement solutions, and present findings effectively. -
Attention to Detail
Excellent analytical and reasoning skills with the ability to collect, organize, and interpret data accurately. -
Domain Curiosity
Interest or willingness to learn the Less-Than-Truckload industry and apply advanced analytics to support strategic, tactical, and operational decisions. -
Team & Environment
Ability to thrive in a fast-paced, collaborative environment.
Preferred qualifications:
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Strong Programming Exposure
Proficiency in an object-oriented language like Java, C++, C# is a strong plus; together with exposure to SQL and Python. -
Solver Engines
Familiarity with optimization solvers (e.g., CPLEX, Gurobi, FICO Xpress). -
Architectural Knowledge
Experience with relational databases, cloud-computing environments, ETL processes, and reporting/BI tools. -
Optimization Techniques
Strong theoretical and practical background in optimization, including network flow/graph algorithms and metaheuristic approaches to combinatorial problems. -
Communication Skills
Outstanding verbal and written communication; ability to distill technical details into clear, concise messages tailored to your audience. -
Organizational Skills
Capable of multitasking, prioritizing, and meeting deadlines with minimal supervision, while seeking guidance when needed.
About the Lead Analyst, Operations Research Analytics job:
Pay, benefits and more:
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Competitive compensation package
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Full health insurance benefits available on day one
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Life and disability insurance
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Earn up to 15 days of PTO over your first year
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9 paid company holidays
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401(k) option with company match
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Education assistance
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Opportunity to participate in a company incentive plan
What you’ll do on a typical day:
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Develop & Enhance Algorithms
Contribute to existing operations research algorithms and services through codebase maintenance, new feature development, and innovative optimization techniques. -
Drive Model Innovation
Master current business models and toolsets while spearheading or assisting in the development of next-generation algorithms using mathematical programming, metaheuristics, and other advanced methods. -
Stay Current
Keep up with emerging technologies and cutting-edge OR methodologies, balancing support for existing solutions with the exploration of new analytical ideas. -
Communicate & Collaborate
Present complex analytical concepts to stakeholders with varying technical backgrounds and partner with internal teams to understand priorities, align on requirements, and deliver effective solutions. -
Strategic & Tactical Impact
Leverage advanced optimization to address real-world challenges, improving performance and efficiency for our LTL business operations.